Op
Open Source Reinforcement Fine-Tuning for Your Agents
Hacker NewsOpen Source Reinforcement Fine-Tuning for Your Agents
Share cardActual performance
5points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, open · Missing: mac, macos, cursor85%85% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto76%76% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source · Missing: https docs, excited, just released49%49% 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, personal46%46% 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, podcasting29%29% 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, intuitive21%21% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Op
Open-source fine-tuning in a Colab notebook80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source fine-tuning in a Colab notebook
Hacker News5Fi
Fine tuning and RLHF mistralai 7B using DeepSpeed38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fine tuning and RLHF mistralai 7B using DeepSpeed
Hacker News1Co
Courtyard – Open-source macOS app for local MLX fine-tuning Text52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Courtyard – Open-source macOS app for local MLX fine-tuning Text
Hacker News1Sh
ShadowPEFT – Centralized and Detachable Parameter-Efficient Fine-Tuning44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ShadowPEFT – Centralized and Detachable Parameter-Efficient Fine-Tuning
Hacker News6Te
Terracotta – Platform for fine-tuning and evaluating LLMs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Terracotta – Platform for fine-tuning and evaluating LLMs
Hacker News1Fi
Fine-Tuning Index of Open-Source LLMs vs. OpenAI58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fine-Tuning Index of Open-Source LLMs vs. OpenAI
Hacker News4Ha
Haven (YC S23) – Quickly iterate when fine-tuning open-source LLMs72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Haven (YC S23) – Quickly iterate when fine-tuning open-source LLMs
Hacker News13
Predibase Reinforcement Fine-Tuning60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLM reinforcement fine-tuning platform to improve LLM output
Product Hunt+172SaaSQu
Quaterion – x100 faster fine-tuning of similarity learning models49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quaterion – x100 faster fine-tuning of similarity learning models
Hacker News19
Tinker70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Control every aspect of model training and fine-tuning
Product Hunt+125API