So
Sourceminder.org - token-efficient code search
Sourceminder.org - token-efficient code search
Hey HN, The code indexing tools released in December now have added capabilities (Rust, Perl support), better token efficiency, easier install method, and a website! The website has a wasm port of the query tool, qi, so you can try it out in the browser. Let me know what you think. Thanks!
Share cardActual performance
4points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →75%75% 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.
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
CySuite40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Be more efficient at debugging your code by visualizing it!
Cr
Crustdata (YC F24) – Web Search API for Token-Efficient AI Agents62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crustdata (YC F24) – Web Search API for Token-Efficient AI Agents
My
My (late) holiday hack: SOPAOpera.org51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My (late) holiday hack: SOPAOpera.org
Sh
Shicray.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shicray.org
Sh
Show HN : YCrejects.org62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : YCrejects.org
Sl
SlaveryStories.org – Memoirs from American Slaves53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SlaveryStories.org – Memoirs from American Slaves
Cr
Crushify.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crushify.org
Mv
Mvmnts.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mvmnts.org
Pd
Pdftotext.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pdftotext.org
ai
aipwn33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
aipwn.org