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Twofer Goofer: daily rhyme game built with Midjourney/Stable Diffusion

Hacker News

Twofer Goofer: daily rhyme game built with Midjourney/Stable Diffusion

Twofer Goofers are pairs of rhyming words that form a nonsensical phrase. Each day, there’s a roundabout prompt that describes a new Twofer Goofer. Players can use up to 4 hints. Inspired by a game back from my high school English teacher, I built this in the past few weeks with a couple friends. We’ve been using Midjourney and Stable Diffusion (been on waitlist for Dalle for ages) to generate each day’s art. Extremely fun and simple way to leverage these super-powerful generative art tools! We “playtested” on Google Forms for about a month while building the app w/ Vercel and Supabase. We also use Figma, Midjourney, Stable Diffusion, Sendgrid. Lots of usual suspects!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% 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: google, new, using · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month, google, way · Missing: mobile apps, ios, personal
55%55% 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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