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Hosted Dolt Released

Hacker News

Hosted Dolt Released

Hi all, CEO of DoltHub here. We just released Hosted Dolt: a cloud hosted version of Dolt. https://hosted.doltdb.com/ For those of you new to Dolt (https://github.com/dolthub/dolt). Dolt is like Git and MySQL had a baby. We built a SQL database from the storage engine up to support branch, merge, clone, diff and all the other Git idioms. Hosted Dolt is ideal for building Dolt backed applications. The primary use cases our customers use Dolt for are (1) backing machine learning pipelines or (2) building applications that provide Git-style version control to the application's customers. But we can imagine many others. More information in our launch blog: https://www.dolthub.com/blog/2022-05-18-hosted-dolt/

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: just released, ide, pipe · Missing: https docs, excited, exist
79%79% 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 HuntOn track for Day 1 leaderboard · Strong signals: mac, new · Missing: agents, macos, agent
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% 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
18%18% 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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