Fr
Fractal, coding agents in a tree with one Git worktree per node
Hacker NewsFractal, coding agents in a tree with one Git worktree per node
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, coding · Missing: mac, macos, cursor79%79% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto78%78% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting13%13% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ke
Keep up with your coding agents – Git Watchttower36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Keep up with your coding agents – Git Watchttower
Hacker News2Gi
Gity – A nice Git wrapper for Node48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gity – A nice Git wrapper for Node
Hacker News7Guidefold17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Git-native instructions for coding agents in monorepos
Indie HackersGi
Git primitives for autonomous coding agents45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Git primitives for autonomous coding agents
Hacker News2Gr
Grove – fast source insights for coding agents – via Tree-sitter34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Grove – fast source insights for coding agents – via Tree-sitter
Hacker News4Gi
Git-tree-maker56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Git-tree-maker
Hacker News4Fa
Fantail SLMs for Coding Agents61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fantail SLMs for Coding Agents
Hacker News1wt
wt – lightweight Git worktree orchestrator for parallel coding agents29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
wt – lightweight Git worktree orchestrator for parallel coding agents
Hacker News3La
LazyAgent – All in one observerbility TUI app for coding agents39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LazyAgent – All in one observerbility TUI app for coding agents
Hacker News6KD
KD-tree recommender system in Literate Coffeescript49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
KD-tree recommender system in Literate Coffeescript
Hacker News2