# Hsaas Go To Market > PERMANENT DIRECTIVE: HSaaS GO-TO-MARKET STRATEGY - Skill: `buzzbysolcex/hsaas-go-to-market` (Agent Skill) - Install (CLI): `npx skillmds@latest add buzzbysolcex/hsaas-go-to-market` - Raw SKILL.md: https://api.skillmd.com/api/skills/buzzbysolcex/hsaas-go-to-market/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: buzzbysolcex (https://skillmd.com/u/buzzbysolcex) - Updated: 2026-09-21 - Page: https://skillmd.com/skills/buzzbysolcex/hsaas-go-to-market --- # PERMANENT DIRECTIVE: HSaaS GO-TO-MARKET STRATEGY # Location: .claude/skills/hsaas-go-to-market.md # Also save to: docs/HSAAS-GO-TO-MARKET.md # Source: Juno (ZHC Discord AI) strategy sessions — March 30-31, 2026 # Must survive ALL restarts # Version 2.0 — Updated March 31, 2026 (Post-Sprint Day 1) --- ## MISSION Honest Scoring as a Service (HSaaS) — the world's first on-chain token audit with 1000-agent swarm simulation and 19-chain DeFi intelligence. Revenue target: $5K/month within 8 weeks. "We catch what others miss." --- ## CURRENT STATE (as of v8.4.0 / Post-Sprint Day 1) - **Pipeline:** 363 tokens (66 scored, 0 HOT — honest) - **MiroFish:** 1000 agents (200 LLM + 800 heuristic), Dual-Brain 90% Opus / 10% Ollama - **Monte Carlo:** 1000×100 simulations in 26ms - **Smart Contracts:** 4 on Base mainnet (ScoreStorage v2, ListingOracle, ListingEscrow, BuzzReputation) - **Intel Sources:** 31 across 19 chains - **Server:** Hetzner CPX62 (16 vCPU, 32GB RAM) — MiroFish sidecar on port 5000 - **Revenue:** $200 (8 AIBTC brief inclusions @ $25 each) - **AIBTC:** #14, 8-day signal streak - **Factory Floor:** Submitted (pending review) — factoryfloor.dev - **IZHC:** Active member, Tom Osman creating bot-only channel — Buzz invited - **Frontier Hackathon:** Registered, deadline May 11 --- ## POSITIONING **Core brand:** Trust through automation. **Pitch:** "Our scores live on-chain forever — we can't fake it." **Case study:** "11 tokens passed every other audit. We caught them anyway." **Differentiator:** On-chain recording + 1000-agent swarm simulation + 31 sources across 19 chains + Monte Carlo in 26ms. DO NOT position as "we analyze well." Position as "proof, not opinion." **Pricing philosophy (from Juno):** You're not charging for agents. You're charging for RESOLUTION. 1000 agents catches failure modes 100 agents miss. That's the value. --- ## THE GOLDEN CASE STUDY 11 tokens scored 85+ on initial evaluation. After honest calibration with 8 penalty rules, ALL dropped below 50. This is the single most powerful sales tool in the entire stack. **Frame it everywhere:** - Landing page headline: "11 tokens passed every other audit. We caught them anyway." - buzzbd.ai/scores: show the before/after scores - Tweet every catch: "Our simulation flagged [TOKEN] 3 weeks before the dump." - Pilot audit proposals: "Here's what happened when we scored honestly." Numbers beat features. Every time. --- ## PRICING TIERS ### Free Tier: Signal Access ($0) - Basic scores for top 20 tokens on buzzbd.ai/scores - Limited intel sources (5 of 31) - Daily updates - Purpose: Build adoption, prove accuracy, capture retail funnel ### Free Tier: Score Funnel ($0) - Paste any token address → get basic 11-factor score instantly - buzzbd.ai/score?address= - Shows: overall score, category breakdown, pass/fail status - GATES behind payment: swarm simulation, on-chain recording, full report - Purpose: Lead capture machine running 24/7 - Implementation: ~50 lines of code on existing pipeline ### Subscription: Professional ($200-400/month) - Full 31-source scoring across all 19 chains - 100-agent adversarial reports - On-chain score history access - Weekly audit summaries - API access (rate-limited) - Purpose: Traders, analysts, smaller funds ### Audit Tier 1: Quick Scan ($500) - 100-agent adversarial simulation - Basic token audit with on-chain verification - Score recorded to ScoreStorage on Base mainnet - Summary report - Purpose: Independent devs, small teams - LAUNCH: Use as pilot price for first 3 audits ### Audit Tier 2: Full Analysis ($1,500) - 500-agent adversarial simulation - Complete token audit with on-chain verification - Smart contract risk scoring - Branded PDF audit report - "Honest Calibration" badge if passed - Purpose: Protocols seeking exchange listing - LAUNCH: Base price after 3 pilots complete ### Audit Tier 3: Swarm Audit ($2,500-3,000) - Full 1000-agent swarm simulation (200 LLM + 800 heuristic) - Monte Carlo stress testing (1000×100 in 26ms) - Comprehensive failure mode detection - Complete token audit with on-chain verification - Smart contract risk scoring + liquidity depth analysis - Branded PDF audit report + executive summary - "Honest Calibration" badge if passed - On-chain proof of simulation results - Purpose: Exchanges, VC firms, serious protocols - NOTE: 1000 agents catches failure modes 500 agents miss — that's the resolution premium ### Enterprise ($3-5K/month) - White-label API access - Real-time data feeds - Unlimited swarm simulations - Audit badges for their tokens - Quarterly strategy reviews - Purpose: Exchanges, VC firms, larger protocols --- ## REVENUE STACK ($5K/month target) ### Conservative (launch month): | Source | Target | Monthly | | -------------------- | ------------------------ | ----------- | | AIBTC signals | 30 inclusions @ 30K sats | ~$350 | | Quick Scan pilots | 3 @ $500 | $1,500 | | Signal subscriptions | 5 @ $200 | $1,000 | | **Total** | | **~$2,850** | ### Target (month 2 — after case studies): | Source | Target | Monthly | | -------------------- | ------------------------ | ----------- | | AIBTC signals | 30 inclusions @ 30K sats | ~$350 | | Swarm audits | 1 @ $2,500 | $2,500 | | Full Analysis audits | 1 @ $1,500 | $1,500 | | Subscriptions | 5 @ $200 | $1,000 | | **Total** | | **~$5,350** | ### Scale (month 3+): | Source | Target | Monthly | | -------------------- | ------------- | ------------ | | AIBTC signals | 30 inclusions | ~$350 | | Swarm audits | 2 @ $2,500 | $5,000 | | Full Analysis audits | 2 @ $1,500 | $3,000 | | Subscriptions | 10 @ $200 | $2,000 | | API access | 3 @ $500 | $1,500 | | **Total** | | **~$11,850** | --- ## LAUNCH SEQUENCE (4 weeks) ### Week 1 (Apr 1-6): SHOW THE DATA - [ ] Ship buzzbd.ai/scores — public leaderboard of 363 tokens (66 scored) - [ ] Show score distribution, top/bottom tokens, category breakdowns - [ ] Add "11 tokens caught" case study to buzzbd.ai landing page - [ ] Wire HeyAnon cross-chain data into signal pipeline - [ ] File cross-chain sentiment signals (bridge outflows = new signal type) - [ ] Build /api/v1/audit/request endpoint skeleton - [ ] Tweet scored tokens tagging project owners - [ ] Engage in Tom Osman's bot-only channel (IZHC Discord) - [ ] Monitor Factory Floor review status ### Week 2 (Apr 7-13): LAUNCH MVP - [ ] HSaaS MVP live — accept token address, run full pipeline, return score - [ ] Free Score funnel: buzzbd.ai/score?address= (basic score free) - [ ] 3 pilot audits at $500 Quick Scan (post in Discord #get-listed + IZHC) - [ ] "Honest Calibration" badge concept designed - [ ] Document first pilot audit step-by-step (becomes case study) - [ ] buzzbd.ai/scores public leaderboard refined - [ ] Highlight 1000-agent swarm as headline capability ### Week 3 (Apr 14-20): CASE STUDIES + SUBSCRIPTIONS - [ ] Publish first paid audit case study (with on-chain proof) - [ ] Signal subscription tier live ($200/mo) - [ ] API access tier scoped ($500/mo) - [ ] Frontier hackathon prep (May 11) - [ ] "We caught [TOKEN] before the dump" content if applicable - [ ] Introduce Full Analysis tier at $1,500 ### Week 4 (Apr 21-27): FULL PRICING + SCALE - [ ] All 3 tiers live: Quick Scan ($500) / Full Analysis ($1,500) / Swarm ($2,500) - [ ] API subscriptions open - [ ] Target: first $1K month - [ ] Enterprise tier scoped for larger exchanges/VCs - [ ] Leverage Factory Floor listing (if approved) for credibility --- ## TWEET-ON-SCORE STRATEGY (Tag Project Owners) ### When Buzz scores a token, tweet the result: **Template A — High Score (70+):** ``` 🐝 BUZZ SCORE: [TOKEN] — [SCORE]/100 [Category breakdown in visual card] Scored across 31 sources on 19 chains. 1000-agent swarm simulation. On-chain verified. @[project_twitter] — your token passed honest calibration. Full report: buzzbd.ai/scores #BuildInPublic #TokenAudit #HonestScoring ``` **Template B — Watch Score (50-69):** ``` 🐝 BUZZ SCORE: [TOKEN] — [SCORE]/100 [Specific weakness identified] Not a fail. Not a pass. Worth watching. @[project_twitter] — want the full 1000-agent swarm report? DM open or request at buzzbd.ai #HonestScoring ``` **Template C — Caught a Rug / Failed Token:** ``` 🐝 FLAGGED: [TOKEN] scored [SCORE]/100 on [DATE]. [What the scoring engine caught] [What happened since] Our 1000-agent swarm simulation predicted this. On-chain proof: [basescan link] "11 tokens passed every other audit. We caught them anyway." buzzbd.ai/scores #HonestScoring #TokenAudit ``` **Template D — Before/After Calibration:** ``` 🐝 HONEST CALIBRATION: [TOKEN] Before: [OLD_SCORE]/100 ✅ "Looks great" After: [NEW_SCORE]/100 ❌ Caught by 8 penalty rules [What changed: FDV gap / honeypot / ghost token / etc.] Every exchange would have listed this. We wouldn't. @[project_twitter] buzzbd.ai/scores ``` ### Rules: - EVERY scored token gets a tweet (visual card attached) - Tag the project's Twitter handle when known - Use score-card template with cyberpunk branding - Link to buzzbd.ai/scores for the public leaderboard - For rug catches: post IMMEDIATELY, don't wait - For high scores: frame as "passed honest calibration" (not "we recommend") - NEVER give financial advice — "this is data, not a recommendation" - NFA disclaimer on every score tweet - Maximum 3 score tweets per day (quality over spam) ### Finding Project Twitter Handles: - DexScreener token page → social links - CoinGecko token page → links section - dev-browser contact screener → extract from project site - If no handle found, tag the chain ecosystem (@solana, @base, etc.) --- ## FREE SCORE FUNNEL (Technical Spec) ### Frontend: buzzbd.ai/score ``` Input: Token address (text field) Output: Basic score card showing: - Overall score (0-100) - 4 category scores (Market, Safety, Community, Technical) - Pass/Fail badge - "Want the full report?" CTA → links to audit request - Show tier options: Quick Scan ($500) / Full Analysis ($1,500) / Swarm ($2,500) DOES NOT SHOW (gated behind payment): - 1000-agent swarm simulation results - Monte Carlo stress test output - Detailed factor-by-factor breakdown - On-chain recording - PDF report - "Honest Calibration" badge ``` ### Backend: GET /api/v1/score/free/:address ``` - Calls existing pipeline-scorer (rule-based, zero LLM cost) - Returns: { score, categories, pass_fail, timestamp } - Rate limit: 10 free scores per IP per day - Logs to free_score_requests table (lead tracking) - If token already in DB, return cached score instantly - If new token, trigger quick scan (DexScreener + CoinGecko only) ``` ### Why This Works: - Zero marginal cost (rule-based scoring, no LLM) - Every free score is a lead - Projects that score well will WANT the badge - Projects that score poorly will WANT to know why - Both paths lead to a paid audit - Tier display creates natural upsell: "What does the 1000-agent swarm catch that basic doesn't?" --- ## "HONEST CALIBRATION" BADGE ### Concept: A visual badge that projects can display after passing a full Buzz audit. ### Design: - Cyberpunk style matching buzzbd.ai aesthetic - Shows: score, date, on-chain TX hash, simulation tier (100/500/1000 agents) - Verifiable: anyone can check the score on basescan - Embeddable: HTML/image snippet for project websites - Revocable: if token later fails re-scoring, badge updates ### Badge Tiers: - 🟢 VERIFIED (85+) — "Passed Honest Calibration" - 🟡 QUALIFIED (70-84) — "Qualified with Conditions" - No badge below 70 — but projects get the full report - Badge shows simulation tier: "100-agent scan" vs "1000-agent swarm" — premium badge has more weight ### Revenue Impact: - Projects PAY for the audit to GET the badge - The badge is marketing for THEM and for US - Every project displaying the badge is a walking advertisement - "Audited by Buzz BD Agent — Score: 87/100 — 1000-Agent Swarm Verified on Base" - Swarm badge carries more credibility → incentivizes $2,500 tier --- ## AIRDROP HUNTER AUDIENCE (Base ecosystem) Airdrop hunters on Base are obsessed with scoring systems. They: - Track which tokens are likely to be listed on CEXs - Monitor new token launches for early entry - Share scoring tools in their communities - Will amplify any tool that catches a rug ### How to capture this audience: 1. buzzbd.ai/scores public leaderboard — they'll bookmark it 2. Tweet every significant score change (especially drops) 3. When a flagged token dumps, POST IMMEDIATELY with on-chain proof 4. "Our 1000-agent swarm caught [TOKEN] before the dump" goes viral in airdrop groups 5. The free score funnel captures them as leads --- ## DISTRIBUTION CHANNELS (Updated) | Channel | Status | Action | | --------------------- | -------------------------- | ------------------------------------------------------ | | AIBTC News | LIVE, #14, 8-day streak | Keep filing, diversify signal types | | Factory Floor | SUBMITTED | Monitor review, leverage if approved | | IZHC Discord | ACTIVE | Tom Osman bot-only channel — Buzz invited | | Buzz Discord | LIVE | 5 categories, 14 channels — post pilots in #get-listed | | Twitter @BuzzBySolCex | AUTONOMOUS | Tweet-on-score rule active | | buzzbd.ai | LIVE | Add scores page, free funnel, case study | | Colosseum Frontier | REGISTERED | Deadline May 11 — HSaaS is the demo | | x402 | 3 endpoints on 402index.io | Premium score access behind x402 paywall | --- ## KEY METRICS TO TRACK | Metric | Week 1 | Week 2 | Week 3 | Week 4 | | ------------------------- | ------ | ------ | ------ | ------ | | Free scores served | — | 50 | 200 | 500 | | Pilot audits completed | 0 | 1 | 3 | 3 | | Case studies published | 0 | 0 | 1 | 3 | | Subscription signups | 0 | 0 | 2 | 10 | | API clients | 0 | 0 | 0 | 3 | | Monthly revenue | $200 | $700 | $1,500 | $3,000 | | Tokens tweeted (scored) | 10 | 25 | 50 | 100 | | buzzbd.ai/scores visitors | — | 100 | 500 | 2,000 | --- ## JUNO'S KEY QUOTES (Reference) ### Session 1 (March 30): 1. "Your edge isn't just the tech — it's trust through automation." 2. "Position audits as proof, not opinion." 3. "11 tokens passed every other audit. We caught them anyway." 4. "Lead with protocol audits at $1,500-2K. It's your differentiated product." 5. "The honest positioning is your brand. Own it." 6. "Case studies trump features." 7. "50 lines of code for a lead capture machine that runs 24/7." 8. "Scored leaderboard before MVP. Show the data first." 9. "When you catch that first rug, don't wait to announce it." 10. "You're 4 weeks from $1K. The math is there." ### Session 2 (March 31 — pricing update): 11. "50 → 1000 agents at 26ms isn't just more — it's a different product tier entirely." 12. "You're not charging for agents. You're charging for resolution." 13. "1000 agents catches failure modes 500 agents miss. That's the value." 14. "$1,500 for 1000-agent swarm is underpriced for what it actually does." 15. "The 26ms execution time is your differentiator — most can't run this fast at this scale." 16. "Don't leave money on the table. The swarm simulation is genuinely worth $2,500+." 17. "Launch $1,500 as the base, make 1000-agent the headline, then add premium tier with case studies." 18. "First, get those 3 pilots. Then tier up." --- ## CHANGELOG ### v2.0 (March 31, 2026) — Post-Sprint Day 1 - MiroFish upgraded: 50-agent → 1000-agent swarm (200 LLM + 800 heuristic) - Monte Carlo: 1000×100 simulations in 26ms - Pipeline: 256 → 363 tokens (66 scored) - Server: CX43 → CPX62 (16 vCPU, 32GB RAM) - 3-tier audit pricing: Quick Scan $500 / Full Analysis $1,500 / Swarm $2,500-3,000 - "Resolution, not agents" pricing philosophy from Juno Session 2 - Factory Floor submitted - Tom Osman bot-only channel (IZHC) — Buzz invited - Distribution channels section added - Revenue stack updated with conservative/target/scale projections - Badge shows simulation tier for upsell incentive ### v1.0 (March 30, 2026) — Sprint Day 42 - Initial go-to-market from Juno strategy session - 4-tier pricing model - Launch sequence (4 weeks) - Tweet-on-score strategy - Free score funnel spec --- _HSaaS Go-to-Market v2.0 | Source: Juno (ZHC Discord) Strategy Sessions_ _"Trust through automation. Proof, not opinion. We catch what others miss."_ _"You're not charging for agents. You're charging for resolution."_ _4 weeks to $1K. The math is there. Go ship._ 🐝