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HelixDB, Open-Source Hybrid Graph-Vector Database

Hacker News

HelixDB, Open-Source Hybrid Graph-Vector Database

Hey HN! A friend and I have been working on HelixDB, a graph-vector database, part-time at university. We're super excited to release the first version of our Graph Database! Helix is being built to incorporate both graph and vector types for building RAG and other AI applications. This release introduces our graph DB, our new query language, HelixQL, and our CLI tool to help run Helix. You can install helix locally by running `curl -sSL https://install.helix-db.com | bash` We'd love you guys to play around with it and hear what you think.

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Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
74%74% 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
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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