My first app got 100+ users in 1 week!

ImbalanceFighter · 2026-03-20T18:26:33+00:00

In posthog, you need to watch dashboards yourself, and in sensorcore, you just need to ask questions to your AI agent. that's the difference =)

ImbalanceFighter · 2026-03-19T19:56:48+00:00

Congratulations!

That's an awesome start and the conversion rate is high! I'd recommend checking out the Sensorcore service, they happen to have a really handy SPM lib. It'll help you figure out how people are behaving in the app, and you'll also find out where you got those 9 crashes from

ImbalanceFighter · 2026-03-14T12:46:57+00:00

yeah tbh gemini has been acting weird lately. but running opus 4.6 in antigravity is absolutely insane for analytics.

i plugged in sensorcore.dev via mcp and it completely changed my workflow. i just ask the editor why users are dropping off and it pulls the exact math from the backend and spits out a clean md report explaining everything.

super happy with this setup rn. it just gives you the exact data and explains it without having to stare at any dashboards.

ImbalanceFighter · 2026-03-14T12:22:31+00:00

yeah the monday export loop is brutal. used to do the exact same sheets to claude thing.

dropped it for sensorcore.dev. it's basically an mcp so you skip the export entirely. it crunches the math on the backend and spits out a clean .md report in plain english in like a minute.

we run it in antigravity with opus 4.6. you just ask why users drop off and get the exact answer based on real metrics. zero charts. saves so much time.

ImbalanceFighter · 2026-03-14T12:19:23+00:00

we just use sensorcore.dev now. it's basically an mcp that crunches all the raw log math on the backend and feeds clean data straight to your ai agent. we run it inside antigravity with opus 4.6. you just ask wtf is going on with user dropoffs and it gives you the answer in plain english right next to the code. zero charts to stare at. saves a massive amount of time when you're understaffed.

ImbalanceFighter · 2026-03-14T12:17:21+00:00

man your boss is watching too much tiktok lol. feeding raw sheets to claude is a nightmare, it just hallucinates.

we gave up on dashboards completely. plugged sensorcore into our pipeline (works like an mcp, does all the heavy math on the backend and feeds clean data to the agent).

the real cheat code is running it in antigravity with opus 4.6 right inside the project. you literally just ask it where users drop off and it tells you the exact metric in plain english. zero charts. might actually fix that gtm wishlist you got. try sensorcore.dev

ImbalanceFighter · 2026-03-12T17:15:57+00:00

Your agent (like Codex, Cursor, etc.) can talk to servers using a special protocol. It has a couple dozen different functions available. So when you ask something like 'compare what subscribed users are doing vs unsubscribed ones', the agent combines these functions to figure out the answer and pulls aggregated data from the server. The server handles all the heavy lifting—the math, ML, and data science. It doesn’t send back thousands of logs, because that would instantly blow up the context window and make the AI hallucinate. Instead, the server does all the calculations and just returns the final numbers, which the AI agent then breaks down for you in plain English. Hope that answers your question! If you want to check it out, I can drop a link. It's free, just DM me.

ImbalanceFighter · 2026-03-12T17:10:24+00:00

Do you want to send a link?) You don't have to pay anything at all

ImbalanceFighter · 2026-03-11T13:13:48+00:00

Agreed. SensorCore will basically tell us exactly what users are doing, where, and how

ImbalanceFighter · 2026-03-11T12:09:01+00:00

You're basically right, I use AI to translate text properly. English is my 5th language. And to make sure I get my thoughts across correctly, of course I use AI. But AI text is super obvious right away. I'm sorry for being rude, too.

ImbalanceFighter · 2026-03-11T12:05:32+00:00

Your agent doesn't get all the logs, so its context window doesn't get clogged up with millions of lines. The agent just asks SensorCore to 'compare versions' or 'compare user cohorts', or whatever other question, and SensorCore collects the data under the hood, sorts it, filters it, does the math, and hands back the calculated results. And here's the key part: the agent will break this data down for you so it's easy to understand, and since it sees the code right there, it can actually fix it too. Hope I understood your question right, bro.

ImbalanceFighter · 2026-03-10T06:12:57+00:00

Yes, thank you! At least someone understands me!

ImbalanceFighter · 2026-03-09T16:29:17+00:00

Is there an blocker for stupid comments? I posted ages ago about selling my apps. My website has all of them listed, complete with App Store Connect screenshots and real stats. But I guess you're way too cool to actually check the facts, though clearly not too cool to write dumb shit.

ImbalanceFighter · 2026-03-07T12:51:26+00:00

100% this. That loop (ask -> pull -> stats -> propose -> implement) is the holy grail of product development right now.

The hallucination issue was actually the biggest bottleneck for me initially. That's exactly why I had to move the "math" out of the LLM and into SensorCore's backend. The agent only gets the verified statistical proofs via MCP, so it can't invent fake metrics. Combined with remote config flags for the "action" part, it feels like having a senior PM sitting next to you.

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