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SemanticFinder, semantic search in the browser with transformers.js

Hacker News

SemanticFinder, semantic search in the browser with transformers.js

Hi folks! I created a frontend-only live semantic search engine based on transformers.js and sentence-transformers/all-MiniLM-L6-v2. Simply pour in your text and a query term. Hit enter and watch the search engine in action! It's highly customizable and stores the embeddings in a variable so that consecutive runs are very fast. You can tweak the segment length to reduce computation time or get get more precise results. I would be very happy to discuss some more usage ideas or receive PRs for improvements. Introduction blog post: https://geo.rocks/post/semanticfinder-semantic-search-fronte... Demo: https://geo.rocks/semanticfinder/ GitHub: https://github.com/do-me/SemanticFinder/

Visit product View on Hacker NewsApr 12, 2023

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

32%32% 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, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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