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A new way to write and publish research

Hacker News

A new way to write and publish research

Over the last two years, we’ve seen just how quickly science can move when it’s conducted out in the open, and the focus is on content rather than the publishing process. We’ve built a new way for researchers and scientists to communicate and share their findings with the world - rethought from first principles, with a lot more coming soon. Free to use, and available now for anyone with a university email address. We’re whitelisting organizations that conduct and publish research on a rolling basis. Please forward feedback and thoughts to nallana@dystr.com or comment here!

Visit productView on Hacker NewsMay 14, 2022
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Actual performance

39points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email, open · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, 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 · Missing: https docs, excited, just released
65%65% 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: soon · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: organizations · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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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