Products and areas of exploration
EpanLabs builds focused products around execution reliability, reflection, feedback, and content discovery.
We use AI where it meaningfully improves the experience, rather than treating AI as the product itself.
Live products and projects
EpanLabs currently operates two Telegram software products and an AI-assisted podcast.
LIVE PRODUCT
Accountability Pulse
A private Telegram bot that helps people keep commitments visible through goal reminders, check-ins, and progress tracking.
Set a goal, choose your check-in time, and record what happened directly inside Telegram.
LIVE PRODUCT
Unsting
A Telegram Mini App that helps people make sense of comments and feedback by separating useful signal from tone and delivery.
Paste a comment or piece of feedback and get a possible interpretation, a more constructive version, and tone context — without reply drafting or advice about what to do.
WHAT IT RETURNS
- A possible read on the comment’s likely meaning
- A constructive version with the hostility removed
- Context on how the tone may reflect the sender as well as the recipient
LIVE PODCAST
Podcast
An EpanLabs-owned podcast that uses AI-assisted production to publish practical mental fitness content at scale.
1M+
downloads in the past 12 months
Areas we are exploring
These are product directions rather than announced releases. Their form and scope may change as we test ideas and learn from real use.
Focused accountability
Accountability experiences designed around different users, goals, and forms of follow-through.
Reflection and perspective
Exploring additional ways to help people pause, reconsider information, and see useful signals more clearly.
Context-aware discovery
Exploring content discovery that responds to a person’s current state of mind and preferences rather than relying only on generic feeds or search.
Building toward reusable AI systems
Over time, EpanLabs aims to build reusable systems that help people and teams interpret useful signals, understand what happened, and improve what happens next.
We are starting with focused products where the job and boundaries can be made explicit, then using what we learn to build broader systems for decisions, adaptation, and follow-through.