Community chat to cited data: $12K a month, self-reported

Levellr turns conversations from Discord, Reddit and Steam into structured, cited insights for gaming, technology and consumer-brand teams. Its $12K a month was founder-reported on the Indie Hackers product page (not independently verified), as of September 30, 2026.

What it actually sells

Levellr sells community intelligence software that converts Discord, Reddit and Steam conversations into structured, cited insights. The customers named on the site are gaming, tech and consumer brands. It analyzes entire communities across Discord, Reddit and Steam.

It ranks recurring patterns and emerging issues by what is actually moving. Language, history and context are kept so a quiet warning stays legible. Every team works from the same structured analysis, and any conclusion opens to the conversations underneath it.

How it charges

The product's price could not be identified on the pages we read. Currency amounts appear on those pages, but none could be tied to Levellr's own pricing, so no charge structure can be stated from them. Revenue is $12K a month, founder-reported on the Indie Hackers product page (not independently verified), as of 2026-09-30.

Where customers come from

The site's visible customer paths are booking a product demonstration and taking a guided product tour. It publishes customer case studies and links customer stories from feature and results sections. These are the contact and proof paths shown on the pages.

What stands out

Levellr reports 6B+ data events processed per month and 18.5M messages processed every month. It reports 700+ experts using its solutions. These are the operating figures presented on the site as proof.

The site describes a 400,000-member community with 10,000 mod authors, consolidated onto one weekly scorecard. The example covers community size, the number of mod authors, and a recurring weekly scorecard.

From the official site

gaming, tech and consumer brands.

Levellr keeps the language, history and context that make a quiet warning legible.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

Levellr's $12K a month is higher than 70% of the 6,604 projects with founder-reported monthly revenue in our dataset; the median across them is $2K. Snapshot: 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

In my view, this needs real work. The buyer is a team that has to make decisions from activity spread across several online communities, and demand comes from wanting recurring patterns, emerging issues and the source conversations behind any conclusion. Distribution would have to come through demonstrations, guided tours and published customer proof.

The hard parts are collecting and structuring long conversation histories, keeping language and context attached, keeping rankings useful over time, and supporting teams that want to inspect conclusions. Data access, platform rules, privacy obligations and security expectations add ongoing work. Competition from community-management, social-listening and market-research products is part of the field.

Verdict: Needs real work.

One thing to take from it

Levellr's product shape is consistent structured analysis joined to inspectable conclusions: any conclusion opens to the conversations underneath it, and language, history and context stay attached.

Sources

Levellr official website, fetched October 1, 2026
Indie Hackers product page: revenue founder-reported on the Indie Hackers product page (not independently verified), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure