Daily-updated open dataset of flight fare history by route and month

github.com · 1 day on the radar

RISING

Where is the demand coming from?

Leans on the founder

The founder's audience is a large part of it. 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We do not publish a figure until we have something to base it on.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 4 weeks

Nothing patented, no network effect, and no proprietary data set standing in the way.

What it is

An open dataset of historical flight fares collected daily since June 2026, covering 823k observed fares across 25k routes with median, 10th percentile, and minimum prices per route and departure month. The dataset is published freely on GitHub with a companion MCP server, framing the value as answering whether today's price is good rather than what today's price is.

The one thing to knowZero revenue signal, no founder reach evidence, and only 1 HN point suggest this is a data project with minimal market traction, making it a lower-priority wedge target despite reasonable buildability and some data moat potential.

Proof we found, with sources

HNThe Show HN post reached 1 points on Hacker News.23 Sept 2026 · source

HNIt was posted as a launch on Hacker News.23 Sept 2026 · source

HNThe Show HN post reached 1 points on Hacker News.23 Sept 2026 · source

The scores behind the verdict

Directional reads from public signals, 0 to 100

▸ Show the four scores

TractionWeak5 / 100

How much demand shows up from people outside the founder's own circle.

CopyabilityEasy to match75 / 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.

MonetizationUnproven0 / 100

How much evidence there is that people actually pay: visible pricing, revenue claims, a paid tier in use.

How it works under the hood

The mechanism, the parts of the stack we can observe, and the piece that is genuinely hard to rebuild rather than merely fiddly…

How it gets customers

The channel that actually brings people in, and whether it transfers.
The loops that compound, and the ones that only work once.
Pricing and packaging, and the seam a new entrant can price into.

The opening we would take

Where the product is weak, and the specific angle a new entrant can launch into, with a bottom-line verdict…

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.