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Live aircraft radar software with 340+ active devices and proven organic demand

Acquire.com

A desk-based aircraft radar software product for aviation enthusiasts that turns an affordable off-the-shelf display into a live tracker showing aircraft flying overhead using ADS-B flight data from an open-source API. Customers purchase a $20 one-time software license, source the compatible hardware independently, and install the software through a browser-based flashing process.

A desk-based aircraft radar software product for aviation enthusiasts that turns an affordable off-the-shelf display into a live tracker showing aircraft flying overhead using ADS-B flight data from an open-source API. Customers purchase a $20 one-time software license, source the compatible hardware independently, and install the software through a browser-based flashing process. The product has demonstrated demand primarily through organic TikTok content, with hundreds of customers assembli...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$29,000

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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