Bootstrapped SMB Video Streaming SaaS

Acquire.com

This is a profitable, bootstrapped video streaming SaaS for SMBs. Launch and monetize live, linear/FAST, and VOD channels fast—no heavy engineering or costly broadcast tools.

This is a profitable, bootstrapped video streaming SaaS for SMBs. Launch and monetize live, linear/FAST, and VOD channels fast—no heavy engineering or costly broadcast tools. Operating since 2015, it posts $182,788 TTM revenue and $153,298 TTM profit on $144k ARR with a lean team and 1K–5K customers. Recent infrastructure cuts trimmed delivery costs 3x, unlocking $25–30k annual savings and margins near 90% from March 2025. Key Highlights ✅ All-in-one live, linear/FAST, and VOD creation, dis...

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Actual performance

$12,000/yr

Made the leaderboard

Traction signals

Asking price$324,500

Annual revenue$144,000

Revenue multiple2.3x

Launch Intel predictions

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Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, revenue, profit · Missing: mrr, growth, recurring

78%78% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, profitable · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

39%39% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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