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Trying to bootstrap my biz with Twitter bootstrap
Hacker NewsTrying to bootstrap my biz with Twitter bootstrap
http://bbsi.biz/ Trying to bootstrap my company, I made this entire site in 18 hours on Twitter's bootstrap 2 and Play! 2.0 with the Scala language. I completed this entire web site, including marketing speak (bulk of time), layout, gfx, dynamic backend, on the fly JavaScript and LESS CSS minification, etc in that time. I'm not a web designer but think it turned out pretty well. Would be thrilled for some feedback!
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2points
3comments
Did not reach leaderboard
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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting75%75% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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