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Swirl – An AI-Powered Open-Source Search Engine

Hacker News

Swirl – An AI-Powered Open-Source Search Engine

Swirl is the Open-Source Platform for Enterprise Search with AI (LLMs and GPT). Swirl can connect to many data sources and provide search functionality. If your product has an API then it can be searched with Swirl. Like, SQL Databases, NoSQL, Slack, Google Bard, Open AI, Huggingface, Spacy, Teams, Outlook, Calendar, ApaceSolr, etc. All the search providers, and all the data siloes. It can then use Chat GPT or any other LLM to perform RAG(Retrieval Augmentated Generation) on your content.

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Actual performance

15points
7comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, open · Missing: mac, agents, macos
97%97% 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: ide, io · Missing: https docs, excited, just released
72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
40%40% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
29%29% 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, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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