Actual performance
216upvotes
3comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, open · Missing: mac, agents, macos83%83% 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, crypto71%71% 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 released57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting51%51% 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
Fi
Fig – Experimenting with long horizon prediction for personhood41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fig – Experimenting with long horizon prediction for personhood
Hacker News6Op
OpenMetaHarness - complete long horizon tasks with more autonomy60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpenMetaHarness - complete long horizon tasks with more autonomy
Hacker News4Sy
SycoFact 4B: Open model detecting sycophancy and delusion confirmation49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SycoFact 4B: Open model detecting sycophancy and delusion confirmation
Hacker News2
GLM-586%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-weights model for long-horizon agentic engineering
Product Hunt+154Open SourceTe
Terminal-Bench-RL: Training long-horizon terminal agents with RL59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Terminal-Bench-RL: Training long-horizon terminal agents with RL
Hacker News125Be
Benchmarking Tangible Interface Understanding in Long-Horizon Tasks51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Benchmarking Tangible Interface Understanding in Long-Horizon Tasks
Hacker News1Se
Self-managing codebase with long-horizon agents57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Self-managing codebase with long-horizon agents
Hacker News2Cu
Cuts Long Horizon Inference Costs by 50% via external KV Cache Offload62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cuts Long Horizon Inference Costs by 50% via external KV Cache Offload
Hacker News22Si
Single-agent long-horizon reasoning within one LLM run62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Single-agent long-horizon reasoning within one LLM run
Hacker News4Op
Open-source, Long-horizon cite-able memory for multi-agent systems69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source, Long-horizon cite-able memory for multi-agent systems
Hacker News4