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I built a portfolio tracker in 100% Rust. It knows 18 years of a company's financials and is private

pyx.finance · 1 day on the radar

Where is the demand coming from?
Mixed
Some genuine outside demand, some founder reach. This is the read that decides whether the traction would transfer to you.
Roughly what does it earn?
Not disclosedNo basis to estimate
We do not publish a figure until we have something to base it on. When we do, the method that produced it is shown alongside the range.
Could you build it?
Yes, in about 9 weeks
Nothing patented, no network effect, and no proprietary data set standing in the way.

What it is

Pyx is a local-first, Rust-built portfolio tracker for macOS/Windows/Linux that stores encrypted investment data on-device and integrates with AI agents via a local MCP server. The product emphasizes privacy, deep financial analysis (18 years of company fundamentals), and honest performance calculations, charging $7/mo or $70/yr for brokerage sync.

The one thing to knowThe core value prop is defensible privacy and local compute, but the build complexity (Rust desktop app, brokerage API integrations, SEC data parsing, charting) and small detected community signal suggest limited near-term traction or obvious wedge angle for fast followers.

Proof we found, with sources

RedditA thread about it ran in r/SideProject.23 Sept 2026 · source
RedditA thread about it ran in r/SideProject.22 Sept 2026 · source
RedditA thread about it ran in r/SideProject.22 Sept 2026 · source
RedditA thread about it ran in r/SideProject.22 Sept 2026 · source
RedditA thread about it ran in r/SideProject.22 Sept 2026 · source
RedditIt was posted as a launch on r/SideProject.22 Sept 2026 · source
RedditA thread about it ran in r/SideProject.22 Sept 2026 · source

The scores behind the verdict

Directional reads from public signals, 0 to 100
Show the four scores
TractionWeak15 / 100
How much demand shows up from people outside the founder's own circle.
CopyabilityFair45 / 100
How feasible it is for a competent builder to ship something comparable.
Wedge potentialFair35 / 100
How much room is left for a new entrant: gaps, ignored segments, pricing openings.
MonetizationSome evidence50 / 100
How much evidence there is that people actually pay: visible pricing, revenue claims, a paid tier in use.

Unlock the full brief

How it works under the hood, how it gets customers, where it is weak, and the opening we would take, with a bottom-line verdict.

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Revenue, user and tactic numbers are evidence we found and attributed, with a confidence rating.
They are directional reads, never verified guarantees.