LittlebirdOS is a founder command center, not a chatbot. It's an analytics + context layer that wraps your product's event stream: drop in a one-line SDK and 13 dashboards come alive — growth pulse, cohort retention, funnel attribution, competitive intel, metric alerts, weekly digests. The flat $49/mo Pro plan includes AI agents with memory that take action on that data. It's the briefing layer a solo founder or lean team would otherwise stitch together from three tabs every Monday morning.
Capture runs through the customer-facing <script> SDK embedded in your own product — never the user's OS screen. LittlebirdOS is a web analytics SDK: it records pageviews and custom events (signups, activations, conversions) emitted by the developer's own product. It's not a screen scraper, not a browser extension, and not a desktop recorder. The founder is choosing what gets instrumented — the user is never on camera. See /sdk.html for the full integration.
No. Data is owned by the account that ingested it — aggregated metrics are only used to power that account's own dashboards, alerts, and weekly digest. LittlebirdOS does not train models on customer events, and we never share telemetry across accounts. Read the full stance at /privacy.html.
Public launch was June 30, 2026 on Product Hunt.
Slack and Discord alert delivery so founders see metric breaches in the tools they already live in. Team seats with shared dashboard editing built in. Custom metric definitions for products whose activation funnel doesn't fit the defaults. A public API so dashboards can be embedded in Notion, internal docs, or a founder's own status page. A mobile SDK so iOS and Android apps feed the same event stream.
Built for solo founders doing their own Monday-morning standup prep, lean product teams running weekly retention reviews, indie hackers watching activation after a feature ship, and beta-test communities running early-access cohorts. It's intentionally NOT built for enterprise data warehouses, multi-product orgs with separate BI teams, or anyone who needs raw SQL against petabyte-scale data — for those, a Snowflake + Looker stack is the right tool.
A few short, honest contrasts.
(a) Mem and Notion are personal note-taking — you write things down and the tool helps you find them again. LittlebirdOS is product event analytics: it surfaces what your users actually did in the product, not what you wrote down about them. (b) Replit is an IDE for writing code. LittlebirdOS runs on top of whatever you ship — we read the events your product already emits, we don't touch your source code or your build pipeline. (c) Reflect is networked-thought tooling for the notes your team writes. LittlebirdOS surfaces the behaviour of the users inside your product — it's a fundamentally different signal.