Animated explainer vid for bootstrapped SaaS trivia business

Hacker News

It's 90 seconds, and we're considering making it the front-and-center asset on our homepage (will likely A/B test first) at watercoolertrivia.com We're in final stage of edits so we can still change a few things with the animation and voiceover. Would love to know... * What parts resonated as most interesting? * What parts were confusing? * Do you feel like you understand the product? Appreciate any and all feedback! https://drive.google.com/file/d/1tyh5W7-cExrIt8dSYKFxz-FLrBdvcGCK/view?usp=sharing Collin

Visit product View on Hacker NewsJan 4, 2021

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1points

Did not reach leaderboard

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

51%51% 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%44% 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 HuntUnlikely to reach the leaderboard · Strong signals: google, using, plain · Missing: mac, agents, macos

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, bootstrapped · Missing: arr, mrr, revenue

27%27% 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, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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