Fc
Fccf – Quickly search through C/C++ source code in a directory
Hacker NewsFccf – Quickly search through C/C++ source code in a directory
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos56%56% 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, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released40%40% predicted probability of success on Hacker News, 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, crypto38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ga
Garble displayed contents of gvim quickly51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Garble displayed contents of gvim quickly
Hacker News1Re
Researching 1201 Indigenous dialects – quickly34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Researching 1201 Indigenous dialects – quickly
Hacker News2Di
Directory of Breeding Birds in Puerto Rico36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Directory of Breeding Birds in Puerto Rico
Hacker News1Di
Directory of NextJS Starters and Boilerplates35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Directory of NextJS Starters and Boilerplates
Hacker News2I
I made a directory of directories (seriously)36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a directory of directories (seriously)
Hacker News5Di
Directory of mashups36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Directory of mashups
Hacker News2escort directory39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
escort directory
Indie Hackersescorts directory9%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
escorts directory
Indie HackersPhage Directory42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fighting antibiotic resistance with viruses
Indie Hackerscommitment-full-timeMi
Minezy – A tool to search through email quickly53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Minezy – A tool to search through email quickly
Hacker News1