SiteHaul
TrustMRRScreenshot an entire website in one click. A complete snapshot of any website: every page, at desktop and mobile sizes, in one run. Built for moodboards, portfolios, and a visual record before a rebui
Screenshot an entire website in one click. A complete snapshot of any website: every page, at desktop and mobile sizes, in one run. Built for moodboards, portfolios, and a visual record before a rebuild.
Share cardActual performance
Did not reach leaderboard
Traction signals
Domain Rating10
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto35%35% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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