Giving your coding agent a working memory, not just a code graph
github.com · 1 day on the radar
Where is the demand coming from?
Real market pull
Demand from people with no connection to the founder. This is the read that decides whether the traction would transfer to you.
Roughly what does it earn?
Not disclosedNo basis to estimateWe do not publish a figure until we have something to base it on.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 6 weeks
Nothing patented, no network effect, and no proprietary data set standing in the way.
What it is
REQL is a local code indexing engine that builds a property graph of multi-language repositories to provide AI coding agents with deterministic, bounded context retrieval without mandatory LLM calls. It targets the problem of agents losing state and wasting tokens on repository discovery by maintaining working memory and incremental compilation.
The one thing to knowThis is a deep infrastructure play (graph databases, parsing, code analysis) that solves a real but narrow pain point (agent context efficiency), meaning fast-follower value is low unless distribution or positioning changes significantly.
Proof we found, with sources
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.
CopyabilityFair35 / 100
How feasible it is for a competent builder to ship something comparable.
Wedge potentialFair40 / 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.
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.