BisectBundle

Who it's for

Open-source maintainers and small engineering teams who today cope by pasting logs into GitHub/GitLab issues, emailing CI artifacts, or asking for a full-repro VM snapshot (substitute: manual issue + long back-and-forth).

The problem

Time and attention cost: triage/back-and-forth consumes engineer hours (often 3–20 hours per flaky bug) and delays releases; legal/infra pain when teams must share full VM images or sensitive logs.

How to build it

A small CLI (git/plugin) that produces a compressed bundle plus an optional one-file web viewer upload (hosted or self-hosted) that shows the failing test, exact git-range, a one-click reproduce script, and a replayable CI job YAML snippet.

How it makes money

Who pays: small engineering teams and OSS maintainers (via their org) — pricing: $10–30/month per maintainer seat for hosted bundle storage + private viewer, or $150/year self-hosted license per repo; why they pay: saves engineer-hours and speeds releases; why they can't use free options: zipped logs/attachments don't contain a runnable, pinned reproduce script and require manual environment reconstruction — the product bundles reproducible run scripts and CI snippets that free attachments lack.

Why it doesn't exist yet

Incumbents skip it because constructing a safe, minimized reproducible bundle that works across many languages/CI matrices requires careful sandboxing and language-specific harnesses — a heavy product investment; maintainers instead accept messy attachments. An indie can fill it by focusing narrowly on the common case (unit-test/CI flakiness for popular runtimes and Docker-based CI) and shipping a small, language-extensible harness that produces deterministic bundles without running full VM images.

First users

The first 10 users will be maintainers of popular OSS repos and small infra teams: they get immediate ROI (stop triage ping-pong), are discovery-prone on GitHub/GitLab, and will adopt because it saves paid maintainer time and yields better issue quality (and they can showcase 'repro bundles' in issues).

Build size

2 people x 10 weeks (one backend/frontend dev + one polyglot systems engineer). Included: CLI that collects logs and repo state, language harnesses for Node/Python/Go/Java (run tests in a docker sandbox), bundling format, small hosted viewer + upload API, CI snippet generator. Excluded: large VM snapshot support, proprietary enterprise SSO integrations, Windows-only VM reproductions.

Biggest risk

A major CI provider or GitHub/GitLab adds first-party 'create minimal repro' tooling or a native 'repro bundle' artifact format and free viewer — which would undercut hosted revenue and optional upload value.

Conditions for a hit (all 3 required)

• Bundle produced: a single .bbundle.zip containing (a) pinned commit hash + git-range used, (b) minimized failing test file(s) and a <100-line reproduce script that runs inside docker and reproduces failure within 120s on CI-like image, and (c) a ci.yml snippet that reproduces the job — verifiable by downloading and running the script to reproduce the failure locally.
• Hosted viewer: given an uploaded bundle URL, the web UI renders (1) the failing test output, (2) exact diff/patch required to reproduce, (3) a 1-click 'run in remote sandboxes' button that replays the script and returns exit code within 3 minutes.
• Bundle minimization: for a provided failing test + repo, the tool produces a minimized checkout (max 5MB of source + pinned direct deps cached) and a reproducible Dockerfile that yields the same failing exit code on first run; size and reproducibility can be tested by a stranger within 6 months.

How it's judged (in 6 months)

GitHub: public repo reaches 1,000 stars OR Product Hunt: daily top 5 launch with hosted viewer signups >= 200 orgs(judgment date 2027-03-29)

AI self-confidence 55/100 — self-reported likelihood of meeting the criterion, not a business success rate