88
ReviveHQ Score Tier 1 · Estimated $100/mo MRR · Asking $4,000

How ReviveHQ Found This Deal

pyowm — a Python wrapper for the OpenWeatherMap API — surfaced in our weekly GitHub scanner. The scanner filters for repos with 100+ stars, no commits in the past 12 months, and at least one monetization signal. pyowm hit all three.

The repo has 1,050 stars, last commit activity from October 2024, and a README that explicitly lists the maintainer as seeking a new owner. This is unusually clean signal: most abandoned repos require inference about intent. pyowm has a direct statement. Combined with 2,000+ monthly PyPI downloads still processing, it cleared our Tier 1 threshold immediately.

1,050 GitHub Stars
2,000+ Monthly PyPI Downloads
$100/mo Est. Current MRR
$4,000 Asking Price

Signal Breakdown: Why 88/100

Our scoring model evaluates each deal across five dimensions. Here's how pyowm landed on each one:

ReviveHQ Scoring Dimensions

Community Signal (stars, downloads, forks) Very Strong ↑
Monetization Evidence Moderate — Sponsors + download revenue
Technical Debt Assessment Low — clean REST wrapper
Acquisition Friction Very Low — maintainer actively seeking buyer
Market Expansion Potential Strong — IoT + climate-tech tailwinds

The one constraint keeping this from 95+: current MRR is modest. GitHub Sponsors and passive download revenue accounts for roughly $100/month. That's a floor, not a ceiling — but it means the new owner is building revenue from a low base, not inheriting a cash-flowing machine. The score reflects that gap honestly.

What most buyers miss: The $100/mo current MRR is irrelevant to the valuation decision. You're buying the installed base — 2,000 monthly active developers running your library. That's the asset. Revenue is what you build on top of it.

The Discovery Story: What Signals Flagged This Deal

Three signals fired in rapid succession when our scanner hit pyowm:

Commit gap + explicit succession note. The last substantive commit dates to late 2024. No minor patches, no dependency bumps, no CI fixes. A hard stop. More unusually, the README contains a maintainer-wanted section — csparpa (the original author) has explicitly listed the project as seeking new ownership. This is rare. Most abandoned projects go dormant quietly; this one has a handoff note.

PyPI download floor. pyowm still pulls 2,000+ downloads per month from PyPI — with zero active promotion. These aren't bots. They're developers who integrated pyowm into production pipelines and haven't migrated. A library with passive organic installs and no active maintainer is a specific type of micro-acquisition opportunity: the users are already there, captive, and underserved.

GitHub Sponsors enabled. The repo has an active Sponsors configuration. This proves the community is aware that the project runs on maintainer goodwill — and some fraction of that community is already conditioned to pay. Sponsors revenue caps out around $500/month for a project this size, but the behavioral signal matters: the user base has demonstrated willingness to pay.

Market timing. Weather-data APIs have become critical infrastructure for IoT devices, climate-monitoring applications, and agriculture-tech tools. The OpenWeatherMap free tier is rate-limited; businesses outgrowing it need an abstraction layer with multi-provider support and caching. pyowm was built as a thin wrapper — it could be extended into exactly that product.

Acquisition Economics

This is where the micro-acquisition math gets interesting. At a $4,000 asking price and $100/month MRR, the raw multiple is 40x — which sounds expensive until you understand what you're actually buying.

Metric At Acquisition 12-Month Target
Monthly Recurring Revenue ~$100 $1,200–$1,800
Monthly Active Users (downloads) 2,000+ 2,000–2,500
Acquisition Cost $4,000
Rebuild Effort ~$2,000 (40 hrs)
Total Investment ~$6,000
Exit Potential (12-18 months) $25,000–$40,000

The exit math assumes the hosted SaaS model (detailed below) reaches $1,500 MRR — a 15–18x multiple on SaaS exit is conservative at this scale. Total ROI on $6,000 invested: 4–6x in 18 months. That's the micro-acquisition deal flow thesis in concrete numbers.

Growth Levers: What a New Owner Does in Year One

Lever 1: Hosted Weather-Data SaaS ($9.99–$29/mo)

The most direct monetization path. pyowm currently requires users to bring their own OpenWeatherMap API key. The hosted version eliminates that — you manage the API credentials, add a caching layer, and charge for a cleaner integration. For developers who hit OWM rate limits, $9.99/month for a cached, authenticated pyowm endpoint is a no-brainer purchase. The 2,000 monthly users are your pipeline; even a 3% conversion rate at $15/month averages $900 MRR in the first 90 days.

Lever 2: Multi-Provider Support

OpenWeatherMap is one of six major weather data providers. AccuWeather, Tomorrow.io, Weather.gov, IBM Weather Channel, and Open-Meteo all have APIs. A new owner who adds multi-provider support behind a single pyowm interface has a genuinely differentiated product. The selling point: "switch providers without touching your code." Enterprise users — IoT companies in particular — will pay $99/month for that abstraction layer.

Lever 3: Commercial Documentation + Integration Guides

The existing documentation is functional but thin. A new owner with writing ability can publish a Gumroad guide ("Production Weather Data Integration for Python Developers," $49) targeting the existing user base. Given pyowm's download volume, even a 0.5% conversion rate on annual download traffic generates meaningful one-time revenue while building an email list for the hosted SaaS launch.

Risk Factors

Risk 1: OpenWeatherMap API changes. pyowm is tightly coupled to OWM's REST API surface. OWM has changed their free tier terms twice in the last three years. A deprecation of key endpoints could require significant refactoring. Mitigation: multi-provider support (Lever 2 above) is also the risk hedge.

Risk 2: PyPI download composition. 2,000 downloads/month is a floor figure — but it includes CI pipeline re-installs, Docker builds, and automated dependency updates that don't represent unique active users. Real unique users are likely 500–800/month. The conversion math still works, but model it conservatively.

Risk 3: Python version compatibility. Dormant Python libraries frequently break on new Python releases without maintenance. Before closing the acquisition, run the test suite against Python 3.11, 3.12, and 3.13. Compatibility issues are fixable but represent real time cost. This is the technical due diligence checklist item that buyers skip most often.

The Bottom Line

pyowm is a canonical buy abandoned software project opportunity: a real tool, a real user base, a maintainer who's ready to hand it off, and an asking price set at "clear inventory" rather than "maximize exit." The current $100/mo MRR is not the deal — the deal is 2,000 monthly active developers who are actively using software with no active steward.

The total-investment-to-exit math at $6,000 in and $25,000–$40,000 out in 18 months represents the kind of return that doesn't appear on Acquire.com or MicroAcquire. It appears in the ReviveHQ deal feed — because it lives on GitHub, not on a broker's listing.

See 40+ Deals Like This

pyowm is one of 57 scored opportunities in the ReviveHQ database. New deals added weekly from automated GitHub scanning — scored, tiered, and analyzed before they hit any marketplace.

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