All-in-One Pre-Launch waitlisting platform

Acquire.com

We’re an all-in-one waitlisting platform serving everyone from startups to large enterprises. Instead of cobbling together forms, analytics, email marketing, referral systems, and design tools, we makes it easy to launch a high-converting waitlist via API or no-code embed. Built as a lean, bootstrapped SaaS, the platform serves ~3,000 customers ranging from solo founders to public companies. The business is highly profitable, generating $189K in TTM revenue and $175K in profit, with strong m...

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Actual performance

$1,833/yr

Did not reach leaderboard

Traction signals

Asking price$300,000

Annual revenue$22,000

Annual profit$175,000

Revenue multiple13.6x

Launch Intel predictions

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

85%85% 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: email, code · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

64%64% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsStrong engagement from HN community · Strong signals: 000 · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: profitable · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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