I will design your app for $1k

Hacker News

I'm a ex Facebook & AOL designer. I recently quit my job to start a design studio of my own and I'm looking to build up my portfolio. I'm looking to work with amazing entrepreneurs to help them design even more amazing products. -FAQs: -What does $1k includes? Everything we can design in 1 week. I'm experienced enough to design a whole app in a week or so. -Do you take equity? No. -Do you also design web apps? Sure. I'm open for all platforms: Web, android, iOS, etc. except VR/3D. -How does it work? I will be booking on first-come, first-served basis. Contact is in my profile. Initial payment will be 50% up front and the rest upon finishing. -Why $1k? It's a filter. I'm not looking to become rich doing this, but I'm looking to work with entrepreneurs that actually are looking to launch an app or already have one but need design help. -What have you designed in the past? While at Facebook I worked on Messenger, Events and Platform (web + ios). At AOL, I worked on the AOL Mobile team.

Visit product View on Hacker NewsApr 18, 2016

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

90%90% 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: apps, open · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, entrepreneurs, apps · Missing: mobile apps, personal, video

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

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

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

33%33% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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