Outland 2023 – I started a tiny tech conference in Southern California

Hacker News

What makes Outland special: • unabashedly deep/academic/technical • ruses/pranks/puzzles/tomfoolery • interdisciplinary topics • open arts and crafts • coolest people ever • 31-minute talks --- This year's talks: • Fun in Synthetic Bio • Denoising the Challenges of AI Image Generation • Putting a compiler in a web page • Print Inspired People-Computing • Accessible Applications with Elm • From Concept to Reality: Qualitative & Quantitative Research for Early Stage Outland-ish Ideas • Event Sourcing --- Let me know if you have any questions :)

Visit product View on Hacker NewsApr 24, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: tiny, open · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% 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

31%31% 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

12%12% 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.

Incorrect prediction on native model

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