DeepSeek-R1-0528

DeepSeek-R1-0528

Product Hunt

New open-source LLM that rivals o3 in coding & reasoning

Share card

Actual performance

220upvotes
5comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, coding, open · Missing: mac, agents, macos
95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
63%63% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, 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
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

A
A new fork of OpenDeepResearcher with DeepSeek R147%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A new fork of OpenDeepResearcher with DeepSeek R1

Hacker News9
DeepSeek R1
DeepSeek R177%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Advanced reasoning model

Product Hunt+322API
St
Structured Outputs with Deepseek R168%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Structured Outputs with Deepseek R1

Hacker News7
R1-AQA
R1-AQA57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Xiaomi's DeepSeek-R1 Inspired Audio AI

Product Hunt+13
QwQ-32B
QwQ-32B61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Matching R1 reasoning yet 20x smaller

Product Hunt+197Open Source
SH
SHOW HN:A New 34B Open Source LLM, Astonishing 78 Score in MMLU (GPT-4 MMLU:83)64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SHOW HN:A New 34B Open Source LLM, Astonishing 78 Score in MMLU (GPT-4 MMLU:83)

Hacker News21
I
I made an open-source coding platform71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an open-source coding platform

Hacker News2
Ne
New open source EDA tool67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New open source EDA tool

Hacker News1
Go
Goat-7B LLM, a new SOTA among the open-source 7B models50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Goat-7B LLM, a new SOTA among the open-source 7B models

Hacker News3
Be
Benchmax, a new open-source RL environment framework for LLM finetuning64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Benchmax, a new open-source RL environment framework for LLM finetuning

Hacker News1