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Selenequant

A local-first AI quant research platform: questions are persistent, conclusions are versioned, and prior findings are recalled into the next call. Python + Next.js, AGPL-3.0-only.

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GITHUB · launched Oct 28, 2026 · 41 upvotes (top 39%)

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Could you build this?

Partial The persistent-question, versioned-conclusion app shell in Python and Next.js is vibe-codeable, but trustworthy quant research needs correct backtesting, market data feeds, and statistical rigor that the AI cannot provide on its own.

What it would actually take: Architecture would be a Python analysis backend (pandas/numpy, backtesting engine) with a Next.js front end, local storage, and an LLM memory layer for recalling prior findings. The hard parts are the backtesting engine's correctness (look-ahead bias, survivorship bias, costs) and reliable historical market data. This needs quantitative finance expertise and paid or licensed data sources.

Competitors

Other products that read as similar to this one : 501 launches clear the similarity bar, closest 8 shown.

Attention rank: #200 of 502 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 361 days after the earliest competitor.

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