Claude Code Distribution Framework

TrustMRR

AI-powered B2B SaaS growth system built for technical founders struggling to get their first customers. The Distribution Framework gives indie hackers and small SaaS teams 6 autonomous agents (ICP evaluation, lead sourcing, competitor analysis, keyword research, SEO strategy) plus 4 content skills for cold emails, LinkedIn DMs, X messages, and SEO articles. Includes proven templates, progress tracking, and educational content explaining why strategies work. One-time purchase

Visit product View on TrustMRRJan 21, 2026Sales Software B2B

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating22

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, growth · Missing: arr, mrr, revenue

44%44% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: education · Missing: mobile apps, ios, personal

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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