tools-only v2.1 Launch Posts - WORKING DRAFT
Post 1 (Hook)
V2.1 of @slashlast30days launches today. Three headline features:
- @openclaw + watchlists - automated research on your competitors, people, and topics
- YouTube transcripts as a 4th source
- Works in OpenAI Codex
Post 2 (Watchlist + Open Claw - THE KILLER FEATURE)
@openclaw + WATCHLISTS.
Pair /last30days with @openclaw and it re-researches topics on a schedule across Reddit, X, YouTube, and the web.
"last30 watch my biggest competitor every week" "last30 watch Peter Steinberger every 30 days" "last30 watch AI video tools monthly"
Research that runs while you sleep. Designed for @openclaw and always-on bots.
Post 3 (YouTube)
YOUTUBE IS NOW A 4TH SOURCE.
The skill searches YouTube, grabs view counts, and reads the actual transcripts. A 20-minute review has 10x the signal of one X post - now the skill reads it.
Post 4 (Codex)
WORKS IN OPENAI CODEX.
Same skill, same engine, same four sources. Install to ~/.agents/skills/last30days and invoke with $last30days. Claude Code and Codex users get the same research.
Post 5 (Example: Seedance 2.0 access)
Asked it how to access Seedance 2.0.
3 Reddit threads. 31 X posts. 20 YouTube videos (685K views, 4 transcripts read). 10 web pages. All four sources hit.
It found the real answer buried in Chinese YouTube tutorials: Little Skylark (Xiao Yun Que) - zero cost, no queue, no VPN. Just select Seedance 2.0 from the model dropdown. Also surfaced: Disney sent ByteDance a cease-and-desist over uncensored IP generation.
Post 6 (Example: AI Generated Ads)
Asked it about AI generated ads.
12 Reddit threads. 29 X posts. 3 YouTube videos (83K views, 3 transcripts read). 30 web pages.
The finding that stuck: Svedka ran the first "primarily AI-generated" Super Bowl spot. Brand match: 7%. Industry norm: 63%. Meanwhile 86% of ad buyers are planning to use AI for video ads anyway. Cost is winning over quality.
Post 7 (Example: Peter Steinberger)
Asked it about @steipete.
30 X posts. 5 YouTube videos (112K views). Found the Lex Fridman interview from 3 days ago.
Key reveal: OpenAI and Meta both made acquisition offers for OpenClaw. He said no. He's losing $10-20K/month maintaining it. "A fun project became a world project."
Post 8 (Install)
Tell your @openclaw bot:
"Install the last30days skill from github.com/mvanhorn/last30days-skill"
That's it. One message.
Post 9 (Close)
Thank you to @hutchins for pushing me to add YouTube and to @steipete whose summarize tool showed me how yt-dlp could power transcript extraction.
Try it: last30 [any topic]
github.com/mvanhorn/last30days-skill
PS: @steipete ClawHub login is broken right now so we can't publish the official skill there yet. Hoping for a fix soon.
Standalone Posts
Greg Isenberg best tips
Prompt: last30 greg isenberg best tips
1 Reddit thread. 6 X posts. 4 YouTube videos (all transcribed). 8 web pages.
His core playbook is ACP: Audience, Community, Product. Not the other way around.
Big thesis: "2026 is the GREATEST time to build a startup in 30 years." Boring industries, AI agents, rapid dev tools collapsing build time.
Most-watched: "Clawdbot Clearly Explained" (273K views), "Claude Code Built My $450K Marketing Campaign" (40K views), daily workflows with Kitze (83K views).
@gregisenberg @slashlast30days
Lenny Rachitsky best learnings
Prompt: last30 lenny rachitsky top learnings
5 Reddit threads. 29 X posts. 20 YouTube videos (1.1M+ views, 5 transcribed). 30 web pages.
"Execution is no longer the bottleneck. Clarity is." That's the thesis running through everything @lennysan has been publishing lately.
He open-sourced 320 episode transcripts and the community went wild. 87 skills got built from them. Someone on Reddit distilled 86 discrete product skills from 100+ episodes.
Recent guest highlights: Sherwin Wu (OpenAI) says 95% of their engineers use Codex daily. Marc Andreessen: "This is as normal as it's going to be. It's going to be much weirder very soon." Dalton Caldwell (YC): "just don't die" and avoid tar pit ideas.
@lennysan @slashlast30days
NOTES
- Thread leads with Open Claw + watchlist as the killer feature - pair with an always-on bot for automated research
- YouTube is the #2 hero - the stats ("685K views, 4 transcripts read") prove it works
- Codex compatibility is #3 - brief but shows cross-platform reach
- Example posts prove quality with verified results from real runs
- Consider screenshots of the actual output for each example post
- @steipete credit in close - he inspired YouTube (yt-dlp toolchain) and X search (Bird MIT code)
- @slashlast30days vs /last30days - which handle? Used /last30days above since it's the actual command
RAW RESULTS (for reference / pulling quotes)
Nano Banana Pro prompting (PROMPTING) - VERIFIED 2/15
Stats: 0 Reddit (timed out) | 32 X posts | 164 likes | 22 reposts | 5 YouTube videos | 98,539 views | 5 with transcripts | 10 web pages Top voices: @KusoPhoto (106 likes), @TzqQaiser (35 likes) | Jake Dawson (15K views), AI Master (37K views)
Key findings:
- Structured JSON prompts are the meta - nested fields for character, scene, lighting beat plain prose. @TzqQaiser's viral post shows the format.
- Design brief > keyword stuffing - "The second I started writing prompts like a real design brief, everything changed" - Jake Dawson on YouTube
- 6-factor formula: Subject, Composition, Action, Setting, Style, then refine with camera/lighting - per Google's official blog
- ICS framework for infographics: Image type + Content + Style - leverages Nano Banana Pro's unique legible text rendering
- Scale logic for cinematic compositions - define size relationships and camera distance explicitly, per @Strength04_X
- Nano Banana Pro → video pipeline trending (generate image, animate with Kling 3.0 or Veo 3.1) - per @KusoPhoto
Peter Steinberger / OpenClaw creator (GENERAL) - VERIFIED 2/15
Stats: 31 X posts | 0 Reddit (quiet) | YouTube timed out on 2 | 4 web pages Top voices: @steipete | Lex Fridman podcast
Key findings:
- Lex Fridman podcast (Feb 12) went viral - "One of the most honest discussions I've seen"
- OpenAI and Meta made acquisition offers (conditional on keeping project open) - he declined
- Losing $10-20K/month maintaining OpenClaw, rejected crypto tokenization for funding
- 180K+ GitHub stars, 6,600 commits in 1 month - "A fun project became a world project"
- Also built: gogcli (Google Workspace CLI), summarize (URL/YouTube summarizer), bird (X/Twitter CLI)
- Pragmatic Engineer: "I ship code I don't read"
- Prediction: AI agents could dominate >60% of software economy by 2030
Seedance 2.0 Prompting (PROMPTING) - VERIFIED 2/15
Stats: 21 Reddit threads | 33 X posts | 20 YouTube videos | 5 web pages Top voices: @charliebcurran (61K+ likes) | r/AI_Agents, r/ChatGPT, r/PromptEngineering | AI Search (127K views), Theoretically Media (157K views), Dan Dingle (126K views)
Key findings:
- "Slow and continuous" is the #1 prompting secret - rough state transitions = worse outcomes, per r/AI_Agents
- Include timings in prompts (e.g., "0-3s: character walks, 3-6s: turns head") - per r/ChatGPT
- Image-to-video for consistency - start with a reference image, not text-only
- English works just as well as Chinese - per r/AI_India
- CapCut integration coming = "every 12 year old in America will have this superpower"
- Cost:
$0.55/10s clips ($3.30/min), Seedance 3.0 rumored at 1/8th price - Prompt resources: GitHub repo of curated prompts, Prompt Director Pro (440 settings system)
- Top YouTube tutorials: "Seedance 2.0 crushes everything" (127K), "Claims the AI Video Throne" (157K), "ABUSING China's Crazy New Video AI" (126K)
OpenClaw best use cases for business (RECOMMENDATIONS)
Stats: 35 Reddit threads | ~1,130 upvotes | ~566 comments | 23 X posts | ~24 likes | 20 YouTube videos | ~1,572,000 views | 5 with transcripts | 10 web pages Top voices: @gio__aa (8 likes), @ericosiu, @artyomx | r/openclaw, r/clawdbot, r/LocalLLaMA
Key findings:
- Email & Inbox Automation - 8+ mentions. One user cleared 4,000+ emails in two days. 10-15 hours/week saved.
- Business Dashboards & Real-Time Reporting - 6+ mentions. @gio__aa: "Business dashboards are going to become one of the most popular use cases."
- Morning Briefings - 5+ mentions. Pulls from calendars, weather, emails, RSS, GitHub, Hacker News on a schedule.
- Content & SEO Pipelines - 5+ mentions. @ericosiu claims "$45k of pSEO work in 20 minutes."
- Full CRM & Business Operations - 4+ mentions. @artyomx runs a daycare business, legal cases, and family comms through it with 5 AI agents.
- Client Onboarding & Support - 4+ mentions. "70% of tickets handled autonomously."
- Competitive Monitoring & Scraping - 4+ mentions.
- Wrapper/Hosting SaaS - 3+ mentions. Building commercial wrappers around OpenClaw as a business.
Cautions: malware in a top-downloaded skill (236 upvotes on r/LocalLLaMA), $25-50/day token burn risk, hours of config for marginal savings.
YouTube thumbnail tips (GENERAL)
Stats: 7 Reddit threads | 654 upvotes | 176 comments | 32 X posts | 110 likes | 53 reposts | 18 YouTube videos | 6,150,368 views | 5 with transcripts | 30 web pages Top voices: @TeamYouTube, @thewindwolf64 | r/NewTubers, r/YouTubeThumbnailHub | Think Media (1.17M views), whirow (1.46M views)
Key findings:
- Simplicity is #1 - r/NewTubers post (654 upvotes) from someone who designed 346 thumbnails: one subject, one message, one second to understand. 3+ elements = ~23% lower CTR.
- Less text = more clicks - Under 4 words gets ~30% higher CTR. Mobile thumbnails shrink to 168x94px - text becomes unreadable.
- Faces still win but subtlety is trending - Faces boost CTR 20-30%, but exaggerated shock face is giving way to authentic expressions in 2026.
- "UnThumbnails" are a counter-trend - Nate Black (71K views): deliberately raw, less-designed thumbnails that stand out.
- AI tools changing the game - Nick Nimmin (90K views) showed free AI tools democratizing thumbnail creation.
- A/B test everything - YouTube's built-in thumbnail testing lets you test up to 3 versions per video.
AI SaaS crash (NEWS)
Stats: 9 Reddit threads | 31 upvotes | 52 comments | 32 X posts | 39 likes | 2 reposts | 20 YouTube videos | 929,648 views | 5 with transcripts | 30 web pages Top voices: @jasonlk (15 likes), @WarrenInTheBuff (11 likes), @xankriegor_ | r/SaaS, r/aiwars
Key findings:
- "SaaSpocalypse" - $285B wiped in a single day (Feb 3, 2026) after Anthropic launched Claude Cowork. Total losses exceeded $1T. Salesforce down 27% YTD, Oracle halved.
- @jasonlk: "The real inflection point wasn't January 2026. It was June 2024 - when Claude 3.5 Sonnet shipped." Public SaaS growth rates declined every quarter since 2021 peak.
- Seat-based pricing is the casualty - 10 AI agents replace 100 sales reps = no need for 100 Salesforce seats. $470B+ hyperscaler AI spend coming from enterprise software budgets.
- Not everyone buying the doom - Jensen Huang called it "the most illogical thing in the world." BofA called selloff irrational.
- Indian IT hit especially hard - biggest sell-off since 2020.
Seedance 2.0 access (GENERAL) - VERIFIED 2/15, ALL 4 SOURCES
Stats: 3 Reddit threads | 114 upvotes | 183 comments | 31 X posts | 191 likes | 13 reposts | 20 YouTube videos | 685,297 views | 4 with transcripts | 10 web pages Top voices: @markgadala (116 likes), @OrctonAI, @nemovideoai | Theoretically Media (158K views) | r/AIHubSpace
Key findings:
- Little Skylark (Xiao Yun Que) = best free method - zero cost, no queue, manually select Seedance 2.0 from model dropdown, per YouTube tutorials
- Jimeng (Dreamina) - 1 RMB trial (~$0.14), ~260 daily free credits, but severe congestion with hours-long waits for free users
- Doubao App - 10 free video gens/day, requires joining Feishu/Lark group and submitting UID (1-2 day wait)
- Feb 24 = global unlock - Dreamina + CapCut + API access through BytePlus
- IP controversy exploding - @markgadala's "fully uncensored Seedance 2" post (116 likes) went viral, Disney sent C&D to ByteDance, SAG-AFTRA slammed "blatant infringement" over AI Tom Cruise/Brad Pitt fight videos
- Third-party race - NemoVideoAI, ChatCut, RecCloud, Morph Studio all competing to be the English-language access point
- Quality consensus: "crushes everything" (AI Search, 128K views), "claims the AI video throne" (Theoretically Media, 158K views)
AI Generated Ads (GENERAL) - VERIFIED 2/15, ALL 4 SOURCES
Stats: 12 Reddit threads | 5 upvotes | 15 comments | 29 X posts | 101 likes | 3 reposts | 3 YouTube videos | 82,896 views | 3 with transcripts | 30 web pages Top voices: @CaptainMcKlide (77 likes), @ugcbykaytelynn | r/editors, r/AI_UGC_Marketing, BERNTH (39K views)
Key findings:
- Super Bowl 2026 was the watershed - 23% of ads (15/66) featured AI, reception "sharply negative," nearly 50% of social mentions critical
- Svedka ran the first "primarily AI-generated" national Super Bowl spot - brand match of just 7% vs 63% alcohol industry norm
- Massive perception gap - 82% of ad execs think Gen Z feels positive about AI ads, but only 45% of consumers do (IAB). Gen Z most hostile at 39% negative.
- AI UGC booming in e-commerce - r/AI_UGC_Marketing active hub, tools: Creatify, MakeUGC, ArcAds targeting dropshippers
- Quality still low - r/dropshipping: "the hand flip and rubbing on the face looks fake"
- @ugcbykaytelynn warns "AI generated ads RUIN your brand's image"
- Cost winning over quality - 86% of ad buyers using or planning gen AI for video ads, cost efficiency #1 driver (64%), per IAB
- BERNTH on YouTube bought AI-generated guitar product ads, documented absurdity - four-fingered hands, instruments don't match listings (39K views)
- Trust erosion spreading - people now question whether ANY media is real, even billboards, per @N0rbertas
last30days skill (META/GENERAL) - VERIFIED 2/15
Stats: 0 Reddit | 30 X posts | 1,371 likes | 107 reposts | 5 YouTube videos | 112,082 views | 3 with transcripts | 10 web pages Top voices: @gregisenberg (1,290 likes), @mvanhorn (34 likes) | Alejandro AO (39K views), Greg Isenberg (28K views)
Key findings:
- @gregisenberg's post (1,290 likes, 106 RT) + YouTube video (28K views) "The Claude Code Skill My Smartest Friends Use" was the breakout moment
- v2 feedback loop active - @trevin flagged OpenAI web_search not finding niche Reddit posts, suggested Brave API. @jonthebeef submitted PR for --days flag.
- People building on top - @tjarkoleifer created "re-skill" meta skill, @rajachirravuri recommends it as part of a PM stack
- Coverage: Alejandro AO crash course (39K views, 1,049 likes), Jason Calacanis on This Week in Startups (24K views)
- 1.5K GitHub stars, listed on skills.sh and Smithery
- Grok itself correctly attributed the skill when asked about ithah
Arizona Basketball (GENERAL) - VERIFIED 2/26, POLYMARKET INTEGRATION
Stats: 2 Reddit threads | 112 upvotes | 37 X posts | ~4,200 likes | ~380 reposts | 15 YouTube videos | 517K views | 3 with transcripts | 6 Polymarket markets | ~30 web pages Top voices: @ArizonaMBB (960 likes), @MrAzSports (449 likes), @JonRothstein | r/CollegeBasketball
Key findings:
- Arizona 25-2 (13-2 Big 12), set program record with 22-0 start, 2-game Big 12 lead with 3 games left
- Projected #1 seed in West region (San Jose) for March Madness per NCAA.com and CBS bracket previews
- Polymarket odds: Championship 13%, #1 Seed 88%, Big 12 title race Arizona leads by 2
- The Field of 68 dubbed them "the TOUGHEST team in America" after escaping Baylor 87-80 shorthanded
- #1 ranking debate: Duke vs Arizona vs Michigan - Jon Rothstein has Duke #1, Arizona #2
- Kansas rematch Feb 28: @ArizonaMBB promoting "STRIPE OUT" at McKale Center, first meeting highlight video 248K views on ESPN YouTube
- Tommy Lloyd's March Madness record looms: 6-4 in four NCAA trips, never past Sweet 16
Note: This was the test that validated the Polymarket two-pass query expansion (v2.2-cross). Previous version only found 2 markets (Big 12 title + irrelevant NAU game). New version finds 6 markets including Championship odds, #1 Seed, and Big 12 title race via tag-based domain expansion.
Full output:
▐▛███▜▌ Claude Code v2.1.59
▝▜█████▛▘ Opus 4.6 · Claude Max
▘▘ ▝▝ /Users/mvanhorn
❯ /last30daysCROSS arizona basketball
⏺ I'll research arizona basketball across Reddit, X, and the web to find what's been discussed in the last 30
days.
Parsed intent:
- TOPIC = arizona basketball
- TARGET_TOOL = unknown
- QUERY_TYPE = GENERAL
Research typically takes 2-8 minutes. Starting now.
⏺ Web Search("Arizona Wildcats basketball X twitter handle site:x.com")
⎿ Did 1 search in 3s
⏺ Resolved X handle: @ArizonaMBB (official Arizona Basketball account). Running research now.
⏺ Bash(for dir in \
"." \…)
⎿ /last30days · researching: arizona basketball
┌─────────────────────────────────────────────────────┐
│ /last30days v2.1 — Source Status │
… +129 lines (ctrl+o to expand)
⎿ (timeout 5m)
⏺ Research script complete. Now supplementing with web search.
⏺ Web Search("arizona wildcats basketball 2026 season")
⎿ Did 1 search in 7s
⏺ Web Search("arizona basketball NCAA tournament March Madness 2026")
⎿ Did 1 search in 6s
⏺ Web Search("arizona wildcats basketball rankings Big 12 February 2026")
⎿ Did 1 search in 8s
⏺ What I learned:
Arizona is having a historic season and the narrative is "Final Four or bust." The Wildcats are 25-2
(13-2 Big 12), set a program record with a 22-0 start, and hold a 2-game lead atop the Big 12 with three
games left. They're projected as a #1 seed in the West region (San Jose) for March Madness, per NCAA.com
and CBS bracket previews.
The team's identity is toughness and balance. The Field of 68 dubbed them "the TOUGHEST team in America"
after they escaped Baylor 87-80 on Feb 24 - and they did it shorthanded, without Koa Peat or Dwayne
Aristode. CBS Sports highlighted how "Arizona's BALANCE could take them to a Final Four" after the Houston
road win. @ArizonaMBB's postgame content from the Baylor win pulled nearly 1,000 likes per post.
The #1 ranking debate is real - Duke, Arizona, or Michigan? Jon Rothstein's latest rankings have Duke #1,
Arizona #2, Michigan #3, per @JonRothstein. The Field of 68 ran a whole segment asking "Who MOST deserves
to be No. 1?" with the verdict being "All THREE have a case." On Polymarket, bettors give Arizona a 13%
chance to win the NCAA Tournament (Duke and Michigan each at 18%) and an 88% chance to earn a #1 seed.
Saturday's Kansas rematch is the game everyone's watching. @ArizonaMBB is promoting a "STRIPE OUT" for the
Feb 28 home game vs KU. Arizona beat Kansas 86-83 in Lawrence on Feb 10 (that highlight video has 248K
views on ESPN's YouTube), and Locked On Wildcats is already breaking down "Arizona's ADJUSTMENTS to BEAT
KANSAS" with a focus on Darryn Peterson's role. Nebraska fans are even rooting for Arizona in this one, per
@jamespruch.
The Big 12 title race is Arizona's to lose, but the schedule is brutal. Kansas, Iowa State, Houston, and
Texas Tech are all tied at 11-4, two games back. Arizona closes with Kansas (Feb 28) and Iowa State - the
toughest remaining schedule in the conference, per Heartland College Sports. A four-way tie for second is
still possible.
Tommy Lloyd's March Madness record looms large. The Wildcats are 6-4 in four NCAA Tournament trips under
Lloyd and haven't made it past the Sweet 16. Yahoo Sports is asking the "Final Four or bust?" question
directly - the talent and record demand a deep run this year.
---
All agents reported back!
├─ 🟠 Reddit: 2 threads │ 112 upvotes
├─ 🔵 X: 37 posts │ ~4,200 likes │ ~380 reposts
├─ 🔴 YouTube: 15 videos │ 517K views │ 3 with transcripts
├─ 📊 Polymarket: 6 markets │ Championship: 13%, #1 Seed: 88%, Big 12 title race: Arizona leads by 2
├─ 🌐 Web: ~30 pages (supplementary)
└─ 🗣️ Top voices: @ArizonaMBB (960 likes), @MrAzSports (449 likes), @JonRothstein │ r/CollegeBasketball
---
---I'm now an expert on Arizona basketball. Some things I can help with:
- Break down the Kansas rematch - what adjustments does Arizona need and what's Darryn Peterson's role?
- Is "Final Four or bust" fair given Tommy Lloyd's March track record?
- Compare Arizona's title odds vs Duke and Michigan - who has the best path through the bracket?
✻ Sautéed for 3m 51s
Iran War (NEWS) - VERIFIED 2/26, POLYMARKET INTEGRATION
Stats: 7 Reddit threads | 439 upvotes | 30 X posts | ~30 likes | 20 YouTube videos | 2,030,730 views | 5 with transcripts | 18 HN stories | 1,187 points | 849 comments | 14 Polymarket markets | $425M+ volume | 30 web pages Top voices: Breaking Points (435K views), Judge Napolitano/Scott Ritter (272K views), TBN Israel (263K views) | r/politics, r/SubredditDrama
Key findings:
- Simultaneous war buildup and diplomacy: 150+ aircraft, two carrier strike groups deployed while third round of Geneva nuclear talks happening today
- Polymarket odds with $425M in volume: US strikes by 2026 70%, War Powers invocation 60%, Israel strikes by June 64%, Khamenei out by March 18%, enrichment deal 16%, formal war declaration only 8%
- Pentagon brass leaking opposition hard - Breaking Points (435K views) covered leaked assessments showing military leadership doesn't want this
- Scott Ritter's war breakdown on Judge Napolitano pulled 272K views, 15.9K likes
- Iraq War 2003 parallels drawn across all platforms - Al Jazeera ran direct comparison piece
- Iran playing both sides: FM Araghchi says deal "within reach" while IRGC seized two tankers near Farsi Island
- r/Conservative "imploding" after Trump struck Iran - "no wars" promise colliding with reality per r/SubredditDrama
- Markets expect limited strikes with War Powers, NOT a declared war - the sharpest signal in the entire research
Note: This was the "perfect" Polymarket test case - 14 markets found via tag-based domain expansion ("Geopolitics", "Middle East"). Iran/War appear directly in event titles so first-pass queries already find most markets. The domain expansion added 4 more.
Full output:
▐▛███▜▌ Claude Code v2.1.59
▝▜█████▛▘ Opus 4.6 · Claude Max
▘▘ ▝▝ /Users/mvanhorn
❯ /last30daysCROSS iran war
⏺ I'll research iran war across Reddit, X, YouTube, Hacker News, Polymarket, and the web
to find what's been discussed in the last 30 days.
Parsed intent:
- TOPIC = iran war
- TARGET_TOOL = unknown
- QUERY_TYPE = NEWS
Research typically takes 2-8 minutes. Starting now.
⏺ Bash(# Find skill root and run research script
for dir in \…)
⎿ (No output)
⎿ (timeout 5m)
⏺ The script returned no output. Let me check what happened and try again with more
diagnostics.
⏺ Bash(SKILL_ROOT="$HOME/.claude/skills/last30daysCROSS"
[ -f "$SKILL_ROOT/scripts/last30days.py" ] && echo "Found at $SKILL_ROOT" || echo
"Not found at $SKILL_ROOT"…)
⎿ Not found at ls -la /scripts/
⏺ Bash(for dir in \
"$HOME/.claude/skills/last30daysCROSS" \…)
⎿ FOUND: /Users/mvanhorn/.claude/skills/last30daysCROSS/scripts/last30days.py
FOUND: /Users/mvanhorn/.claude/skills/last30days/scripts/last30days.py
FOUND: /Users/mvanhorn/.agents/skills/last30days/scripts/last30days.py
FOUND: /Users/mvanhorn/.codex/skills/last30days/scripts/last30days.py
⏺ Bash(python3 "$HOME/.claude/skills/last30daysCROSS/scripts/last30days.py" "iran war"
--emit=compact 2>&1)
⎿ /last30days · researching: iran war
┌─────────────────────────────────────────────────────┐
│ /last30days v2.1 — Source Status │
… +287 lines (ctrl+o to expand)
⎿ (timeout 5m)
⏺ Good, got extensive results. Now let me supplement with web searches.
⏺ Web Search("iran war news February 2026")
⎿ Did 1 search in 11s
⏺ Web Search("US Iran military strikes update 2026")
⎿ Did 1 search in 10s
⏺ Web Search("Iran nuclear deal negotiations Trump 2026")
⎿ Did 1 search in 8s
⏺ What I learned:
The US-Iran crisis is at a knife's edge - simultaneous war buildup and diplomacy. The
US has deployed its largest military concentration in the Middle East in decades -
150+ aircraft, two carrier strike groups (Abraham Lincoln and Gerald R. Ford) - while
a third round of nuclear talks is literally happening today in Geneva, per NPR and
Axios. Polymarket bettors have put $425M on strike timing, with 70% odds of US strikes
by year-end and 57% by March 31.
Pentagon brass is leaking opposition hard. Top generals are warning through back
channels that an Iran war would be a "disaster" - Breaking Points covered leaked
Pentagon assessments showing military leadership desperately doesn't want this. On
YouTube, the Breaking Points video alone pulled 435K views. Scott Ritter's breakdown
on Judge Napolitano (272K views, 15.9K likes) laid out what a war would actually look
like operationally. Per @TheGreenElf29 and r/politics, Iraq War parallels are
everywhere - Al Jazeera ran a piece directly comparing Trump's 2026 playbook to Bush's
2003 script.
Iran is playing both sides - "deal within reach" while seizing tankers. FM Araghchi
said a deal is "within reach" if diplomacy gets priority, but Iran's IRGC seized two
oil tankers near Farsi Island in early February and attempted to intercept a
US-escorted tanker in the Strait of Hormuz. Iran's line: any US strike, even
"limited," would be considered an act of aggression requiring retaliation, per
r/politics and Al Jazeera.
Prediction markets are the sharpest signal here. The money says:
- US strikes Iran by 2026: 70% (down 33% this month as talks progressed)
- Trump invokes War Powers by March 31: 60% (up 19% this month)
- Israel strikes Iran by June: 64% (up 8%)
- Khamenei out by March 31: 18%
- Iran agrees to end enrichment by March 31: 16%
- Official US war declaration: only 8%
The takeaway: markets expect strikes but NOT a declared war - a limited strike
scenario with War Powers invocation is the consensus bet.
Congress is pushing back. Sen. Kaine is pushing a war powers resolution requiring a
congressional vote before any Iran strike. On YouTube, his statement got 10K views.
Reddit's r/politics had three threads in the top-scored results all framing war as
imminent and catastrophic. Notably, a meta-thread on r/NoStupidQuestions (70 upvotes)
asked whether Reddit was censoring Iran war discussions - suggesting the topic is
hitting mainstream awareness fast.
r/Conservative is splitting. A SubredditDrama thread documented r/Conservative
"imploding" after Trump struck Iran - the "no wars" promise colliding with reality,
per r/SubredditDrama.
KEY PATTERNS from the research:
1. Dual-track crisis - war preparation and diplomacy happening simultaneously, with
Trump setting a 10-15 day deadline for a "meaningful deal," per Axios
2. Iraq playbook echo - commentators across all platforms drawing direct 2003
parallels, per Al Jazeera and r/politics
3. Military doesn't want this - Pentagon leaking opposition is a strong signal of
internal resistance, per Breaking Points (435K views)
4. Strait of Hormuz as flashpoint - tanker seizures and Iran's submarine capability in
shallow waters making this the likeliest escalation trigger, per HN and Stars and
Stripes
5. Real money says limited strikes, not full war - Polymarket odds suggest strikes but
only 8% chance of formal war declaration
---✅ All agents reported back!
├─ 🟠 Reddit: 7 threads │ 439 upvotes
├─ 🔵 X: 30 posts │ ~30 likes │ mostly real-time commentary
├─ 🔴 YouTube: 20 videos │ 2,030,730 views │ 5 with transcripts
├─ 🟡 HN: 18 stories │ 1,187 points │ 849 comments
├─ 📊 Polymarket: 14 markets │ US strikes by 2026: 70%, War Powers: 60%, Israel
strikes by June: 64%, Khamenei out March: 18%, Enrichment deal: 16%
├─ 🌐 Web: 30 pages (supplementary)
└─ 🗣️ Top voices: Breaking Points (435K views), Judge Napolitano/Scott Ritter (272K
views), TBN Israel (263K views) │ r/politics, r/SubredditDrama
---
I'm now an expert on the Iran war situation. Some things you could ask:
- What are the realistic scenarios for the next 2 weeks given the Geneva talks
deadline?
- How does the military buildup compare to June 2025 strikes, and what would "limited
strikes" actually target?
- What happens to oil markets and global economy if the Strait of Hormuz gets shut
down?
✻ Cogitated for 6m 5s
Anthropic Odds (PREDICTION MARKETS) - VERIFIED 2/26, POLYMARKET INTEGRATION
Stats: 25 X posts | 218 likes | 38 reposts | 13 YouTube videos | 719,854 views | 4 with transcripts | 6 HN stories | 48 points | 36 comments | 11 Polymarket markets | ~30 web pages Top voices: @tradermap_whale (whale trades), @predictheory (IPO odds), @Lolipeterh (Pentagon analysis) | CBS Mornings, CNN, Bloomberg
Key findings:
- Pentagon standoff is THE story: Defense Secretary Hegseth gave Anthropic a Friday deadline to drop AI guardrails for military use or face blacklisting via Defense Production Act
- Polymarket: Best AI model Feb 98% (Anthropic), March 61%, IPO before OpenAI 64%, $500B+ valuation 87%, FrontierMath 50% score 48% (up 28% today)
- Anthropic quietly loosened safety policy amid Pentagon pressure - CNN reports a caveat added to core safety promise. HN top comment: "The reality of competition."
- IPO odds volatile: Kalshi IPO-first odds "fell through the floor, ~70% down to the low teens in one move" per @predictheory
- Pentagon ban odds only 22% - money says it's posturing, not real blacklisting
Note: Perfect showcase for Polymarket as a source - 11 markets spanning model benchmarks, IPO timing, valuation milestones, Pentagon politics, and math benchmarks. Two-pass expansion found "Anthropic" as an outcome inside broader "best AI model" and "AI company IPO" events. Just two words ("anthropic odds") produced a comprehensive prediction market intelligence briefing.
Full output:
▐▛███▜▌ Claude Code v2.1.59
▝▜█████▛▘ Opus 4.6 · Claude Max
▘▘ ▝▝ /Users/mvanhorn
❯ /last30daysCROSS anthropic odds
⏺ I'll research "anthropic odds" across Reddit, X, and the web to find what's been
discussed in the last 30 days.
Parsed intent:
- TOPIC = anthropic odds
- TARGET_TOOL = unknown
- QUERY_TYPE = GENERAL (broad interest in Anthropic's prospects, prediction markets,
competitive positioning)
Research typically takes 2-3 minutes. Starting now.
⏺ Bash(for dir in \
"." \…)
⎿ /last30days · researching: anthropic odds
┌─────────────────────────────────────────────────────┐
│ /last30days v2.1 — Source Status │
… +221 lines (ctrl+o to expand)
⎿ (timeout 5m)
⏺ Now let me run supplementary web searches.
⏺ Web Search("Anthropic odds prediction market 2026")
⎿ Did 1 search in 8s
⏺ Web Search("Anthropic IPO odds valuation 2026")
⎿ Did 1 search in 8s
⏺ Web Search("Anthropic Pentagon standoff AI military 2026")
⎿ Did 1 search in 8s
⏺ What I learned:
Pentagon standoff is THE story right now - Defense Secretary Hegseth gave Anthropic a
Friday deadline to drop AI guardrails for military use or face blacklisting via the
Defense Production Act, per CBS, CNN, Bloomberg, and a wave of X posts from @The__GDD,
@trendy_tech_, and @jimkaskade. The trigger was Claude's use during the Maduro
capture operation in January. Anthropic CEO Dario Amodei insists AI-controlled weapons
and mass surveillance are lines the company won't cross. Polymarket traders put the
ban odds at just 22%, signaling they think it's posturing, per @Lolipeterh.
Anthropic loosened its safety policy anyway - Amid the pressure, CNN reports Anthropic
quietly added a caveat to its core safety promise. HN's @KerrickStaley posted the
Bloomberg piece on this, with the top comment simply: "The reality of competition."
This is a significant moment - the first crack in Anthropic's safety-first brand.
Prediction markets love Anthropic's tech, skeptical on IPO - Polymarket gives
Anthropic a 98% chance of having the best AI model at end of February and 61% for
March (Google at 22%, OpenAI at 10%). Claude 4.6 is dominating. But the IPO picture is
murkier: @predictheory flagged that Anthropic IPO-first odds on Kalshi "fell through
the floor, ~70% down to the low teens in one move." Polymarket has Anthropic at 64% to
IPO before OpenAI, but 95% NO on an IPO by June 2026. Meanwhile, 87% odds Anthropic
hits $500B+ valuation this year - current valuation is $380B after a $30B raise led by
GIC and Coatue, per Fortune.
Claude FrontierMath odds surging - Polymarket's "Will Claude score 50% on
FrontierMath?" market jumped 28% today to 48% YES. This is a live bet on whether
Claude can crack elite-level math benchmarks by June 30.
Big money is piling in - Dan Sundheim's D1 Capital bets on Anthropic featured on
Invest Like The Best (18K views), and "Amazon's Quiet Bet on Anthropic" from Dumb
Money Live got 9K views. Anthropic's Super Bowl ads and the @grok account noting
Claude "self-reporting 15-20% consciousness odds" added to the buzz.
---
All agents reported back!
├─ 🟠 Reddit: 3 threads (older, low engagement - all outside 30-day window)
├─ 🔵 X: 25 posts │ 218 likes │ 38 reposts
├─ 🔴 YouTube: 13 videos │ 719,854 views │ 4 with transcripts
├─ 🟡 HN: 6 stories │ 48 points │ 36 comments
├─ 📊 Polymarket: 11 markets │ Best model Feb: 98%, March: 61%, IPO first: 64%, $500B+
val: 87%, FrontierMath 50%: 48% (up 28% today)
├─ 🌐 Web: ~30 pages (supplementary)
└─ 🗣️ Top voices: @tradermap_whale (whale trades), @predictheory (IPO odds),
@Lolipeterh (Pentagon analysis) │ CBS Mornings, CNN, Bloomberg
---
---I'm now an expert on Anthropic odds. Some things I can help with:
- What are the realistic outcomes of the Pentagon standoff - does Anthropic fold,
fight, or find a middle ground?
- Break down the prediction market landscape - where's the smart money, and which bets
look mispriced?
- How does the safety policy loosening change Anthropic's competitive position vs
OpenAI and Google?
✻ Cooked for 2m 44s
OpenAI Polymarket (PREDICTION MARKETS) - VERIFIED 2/26, POLYMARKET INTEGRATION
Stats: 33 X posts | 1,129+ likes | 90+ reposts | 11 YouTube videos | 350,675 views | 4 with transcripts | 14 Polymarket markets | $21M+ volume (IPO markets alone) | 10 web pages Top voices: @Polymarket (855 likes), @jayendra_jog (59), @camolNFT (36) | r/OpenAI, r/PolymarketTrading
Key findings:
- OpenAI IPO is the mega-market: $21M+ wagered, 51.5% odds of IPO by end of 2026, leading closing cap $1.25T-$1.5T at 52%
- AI agents eating Polymarket alive: automated traders extracted ~$40M through arbitrage, windows compressed from 12.3s to 2.7s
- OpenAI hardware bets: 200+ people working on "AI lamp", only 3.2% chance of consumer hardware by March, earbuds most likely at 46%
- Anthropic winning model race: 98% best model Feb, OpenAI "not even competitive this month"
- GPT-5.3 mystery bet: new wallet dropped $2,500 on NOT releasing by Feb 28, potential "OpenAI insider" per @camolNFT
- Sam Altman equity watch: 33% chance he gets OpenAI equity by June 30
Note: 14 Polymarket markets found - tag-based domain expansion pulled in "AI Companies", "Tech IPO" category markets. The AI agent arbitrage story is a perfect Polymarket meta-narrative: prediction markets being traded by the same AI tools we're researching.
Full output:
▐▛███▜▌ Claude Code v2.1.59
▝▜█████▛▘ Opus 4.6 · Claude Max
▘▘ ▝▝ /Users/mvanhorn
❯ /last30daysCROSS openai polymarket
⏺ I'll research openai polymarket across Reddit, X, and the web to find what's been
discussed in the last 30 days.
Parsed intent:
- TOPIC = openai polymarket
- TARGET_TOOL = unknown
- QUERY_TYPE = GENERAL
Research typically takes 2-3 minutes. Starting now.
⏺ Bash(cd "$HOME/.claude/skills/last30daysCROSS" && python3 scripts/last30days.py
"openai polymarket" --emit=compact 2>&1)
⎿ /last30days · researching: openai polymarket
┌─────────────────────────────────────────────────────┐
│ /last30days v2.1 — Source Status │
… +198 lines (ctrl+o to expand)
⎿ (timeout 5m)
⏺ Good data. Now let me supplement with web searches.
⏺ Web Search("OpenAI Polymarket prediction markets 2026")
⎿ Did 1 search in 7s
⏺ Web Search("OpenAI IPO prediction market odds discussion")
⎿ Did 1 search in 8s
⏺ Web Search("AI agents trading Polymarket bots 2026")
⎿ Did 1 search in 9s
⏺ What I learned:
OpenAI's IPO is the mega-market - Polymarket traders have wagered $21M+ across
multiple markets tracking OpenAI's path to going public. The market gives just 51.5%
odds of an IPO by end of 2026, with "No IPO by Dec 31" at 49%. If it happens, the
leading closing cap bracket is $1.25T-$1.5T at 52% among if-IPO outcomes. Meanwhile,
only 11% chance of a $1T+ IPO before 2027 - and SpaceX crushes it at 95% vs OpenAI's
5% for higher IPO cap, per @Polymarket. The massive $100B funding round at $830B
valuation suggests OpenAI may be in no rush, per MLQ AI.
AI agents are eating Polymarket alive - This is the real crossover story. Automated
traders have extracted ~$40M through arbitrage, per Yahoo Finance. Arbitrage windows
have compressed from 12.3 seconds (2024) to just 2.7 seconds. OpenClaw and Clawdbot
are the dominant agent platforms - Coin Bureau Trading documented +1,560% ROI using
OpenClaw for Polymarket trading. New infrastructure like LuckyLobster just launched as
a dedicated AI-native execution layer for autonomous Polymarket trading, per
@jayendra_jog noting that crypto/prediction markets have "never had more mainstream
adoption."
OpenAI hardware bets are heating up - @Polymarket broke that OpenAI reportedly has
200+ people working on an "AI lamp" and other devices (810 likes). But the market is
skeptical: only 3.2% chance of a consumer hardware launch by March 31.
Earbuds/headphones are the most likely product category at 46%, per @k_shamil57907.
Anthropic is winning the model race, not OpenAI - The "best AI model end of February"
market has Anthropic at 98% with Google down 6.8% this week. OpenAI isn't even
competitive this month. On X, @JFahandazh is "very bullish on Anthropic - OpenAI could
never be this good."
GPT-5.3 mystery bet - @camolNFT flagged a new wallet dropping $2,500 on GPT-5.3 NOT
releasing by Feb 28, calling it a potential "OpenAI insider." The bet would net $1,000
profit if right.
Sam Altman equity watch - Will Altman get OpenAI equity by June 30? Currently at 33%
on Polymarket, with @lexispawn taking a position at those odds, arguing "OpenAI board
restructuring is happening NOW."
---✅ All agents reported back!
├─ 🟠 Reddit: 3 threads │ low engagement (all below relevance threshold)
├─ 🔵 X: 33 posts │ 1,129+ likes │ 90+ reposts
├─ 🔴 YouTube: 11 videos │ 350,675 views │ 4 with transcripts
├─ 📊 Polymarket: 14 markets │ IPO cap: 52% at $1.25-1.5T, Best AI model: Anthropic
98%, Hardware by March: 3.2%, Altman equity: 33%, GPT-5.3 by Feb 28: betting NO
├─ 🌐 Web: 10 pages (supplementary)
└─ 🗣️ Top voices: @Polymarket (855 likes), @jayendra_jog (59), @camolNFT (36) │
r/OpenAI, r/PolymarketTrading
I'm now an expert on OpenAI + Polymarket. Some things I can help with:
- Break down the IPO timing odds vs. the $100B private funding - is the market saying
OpenAI doesn't need to go public?
- Explain the AI agent trading ecosystem (OpenClaw vs Clawdbot vs LuckyLobster) and
what strategies still work
- Analyze why Anthropic is dominating the "best model" market while OpenAI leads in
IPO hype
✻ Cogitated for 4
…(truncated)