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IntelliAgent – customizable deep‑research agent

Hacker News

IntelliAgent – customizable deep‑research agent

Hello everyone! This is Yi - we just built a deep research agent called IntelliAgent. We built IntelliAgent because deep research agents from ChatGPT / Gemini / Perplexity are hard to customize beyond some prompt improvement, which means: 1/ Often returning results I was not looking for, including wrong sources, missing sources, and wrong directions. 2/ Cannot be modified during the search process, so I end up waiting for 15min+ only to modify the prompt again What it does: 1/ Prompt improvement via clarifying questions 2/ Editable pre‑flight search plan you can modify before starting 3/Step‑by‑step execution that automatically pivots or extend directions as results come in Try it out! https://myintelliagent.com/intelliagent

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, perplexity · Missing: mac, macos, cursor
95%95% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: including, gemini · Missing: supports, reddit linkedin, podcasting
78%78% 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
48%48% 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
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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