NoteStack — Substack Analytics & AI-Powered Scheduler

NoteStack — Substack Analytics & AI-Powered Scheduler

TrustMRR

NoteStack is a Substack analytics Chrome extension: 235 installs, 68% install-to-use conversion, live on the Chrome Web Store — all fully organic, zero marketing done yet. Full product built: analytic

NoteStack is a Substack analytics Chrome extension: 235 installs, 68% install-to-use conversion, live on the Chrome Web Store — all fully organic, zero marketing done yet. Full product built: analytics dashboard, competitor analysis, best-time insights, plus a Pro tier ($8–$12/mo) — AI Ghostwriter that writes Notes in the user's voice, bulk scheduler, and sponsor media-kit generator. Working licensing infrastructure. Turnkey for a buyer to grow. Solo-built, clean codebase, full handover included

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Actual performance

1customers
$12MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d+1100.0%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, notes, code · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
34%34% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, host · Missing: platform, intuitive, reviews
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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