ZenLLM

ZenLLM

Indie Hackers

We built ZenLLM to explain where AI spend actually comes fro

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: plain · Missing: mac, agents, macos
74%74% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
50%50% 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
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

AI Spend Console by Rippling
AI Spend Console by Rippling52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track your AI spend and connect it to business outcomes

Product Hunt+289Artificial Intelligence
Waydev Agent
Waydev Agent57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prove ROI and see if your AI spend is actually paying off

Product Hunt+207Pitch NYC
kenbun
kenbun37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lead scoring you can actually explain.

Indie Hackerscommitment-side-project
I
I built a tool to explain MySQL's Explain Plan48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a tool to explain MySQL's Explain Plan

Hacker News1
Binadox
Binadox49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

One dashboard for cloud, SaaS and AI spend

Product Hunt+1
Navigara
Navigara64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Connect Your AI Spend Directly to Your Roadmap

Product Hunt+299Analytics
Wh
What you are supporting when you spend?44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What you are supporting when you spend?

Hacker News17
CoinConsume
CoinConsume25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find out where to spend your cryptocurrencies!

Indie Hackers3content
Toolspend
Toolspend56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track AI spend, usage, and cost across tools

Product Hunt+379Productivity
SuperPenguin
SuperPenguin

Track and optimize AI spend across providers, teams, and features

BetaList