Hashibu.

The problem

People managing Hashimoto's thyroiditis carry a heavy tracking burden with little payoff. Logging a single day's food, symptoms, sleep, activity, and stress can take 40 minutes to an hour, and even then the notes rarely add up to anything useful.

Synthesising weeks of entries to spot what might be aggravating symptoms is cumbersome and demands sustained effort, and the data is only meaningful once it is reasonably complete. Existing tools like Bearable and BOOST Thyroid help capture data but leave the harder work of finding patterns to the user.

The solution

Hashibu is a voice-first lifestyle tracker built specifically for Hashimoto's. Users speak or type a daily log, and the assistant structures it into food, sleep, symptoms, energy, activity, and stress — asking targeted clarifying questions whenever an entry is ambiguous rather than guessing.

After enough data accumulates, it surfaces potential associations between lifestyle entries and symptoms, and can extract and compare markers from uploaded blood reports. Everything is drawn from the user's own logs, with a firm boundary against diagnosis, medication advice, or clinical interpretation.

How it works

Hashibu uses a hybrid model approach. GPT-4o-Transcribe handles speech-to-text for its accuracy and noise resilience, while Claude Sonnet 4.6 performs extraction and all downstream reasoning for its instruction adherence and medical-boundary compliance.

The pipeline runs across five edge functions — extract-log, clarify, detect-patterns, extract-blood-report, and recommend — on a stack of Lovable, Supabase, and the Anthropic and OpenAI APIs. Pattern detection begins only after 7 days of data, presenting co-occurrence counts and confidence percentages, checking 24–72 hour lag windows, and never stating causation. Crucially, insights come only from the user's own data — no population-level research is used to suggest patterns that aren't there.

Who it's for

Hashibu is a B2C product for people diagnosed with Hashimoto's who want to understand how their lifestyle affects their symptoms. Because the condition affects women roughly three times as often as men, the core users are predominantly women looking to identify triggers and make changes that ease symptoms.

The condition affects around 480 million people worldwide, including roughly 17 million in the US, 28 million in India, and 3.2 million in Australia — a large, underserved base seeking better self-management tools.

Why it matters

There is no cure for Hashimoto's, so day-to-day management is where users can actually influence how they feel. A tool that removes the logging burden and turns scattered notes into honest, data-grounded observations addresses a real and frequent frustration.

Hashibu is at the prototype and MVP stage on a freemium model, moving from a founder pilot into a closed beta of 10–20 users from the Hashimoto's community. The strategic goal is endorsement from endocrinologists to run a free 90-day patient pilot — the moment that would open a paid subscription and a credible path to a real business.

At a glance

Project

Hashibu

Built by

Vikram Visweswara

One-liner

Hashibu is an AI-powered lifestyle tracker for people managing Hashimoto's thyroiditis.