LearnFork

LearnFork

TrustMRR

LearnFork is a branching chat app designed for learning. Every conversation lives as a node on an infinite canvas. Any AI response can spawn a branch — a new chat that inherits the full parent context

LearnFork is a branching chat app designed for learning. Every conversation lives as a node on an infinite canvas. Any AI response can spawn a branch — a new chat that inherits the full parent context up to that message. Branches appear as child nodes to the right, building a horizontal tree. This lets you explore topics in depth, ask follow-up questions in different directions, and keep your learning organized visually.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating3

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, context, visual · Missing: mac, agents, macos
86%86% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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