Thally, a bootstrapped software startup founded by former developer-experience executive Ekene Eze, launched publicly after signing up more than 100 active workspaces for its service aimed at helping software companies keep customer-facing information synchronized with rapidly changing products.
The company, which Eze began building in March, is targeting a problem that has grown alongside the use of artificial intelligence in software development: companies can change their products faster than they can update the documentation developers rely on to use them.
Thally’s software monitors changes in product repositories and determines which documentation, websites and other public-facing material may have become outdated. It then prepares a pull request containing proposed changes and the evidence used to make them, leaving developers to review and approve the work.
The startup is operating without outside funding and is being built by Eze as a solo founder from Dubai. Its early customers and design partners span the US, Europe, India, the Middle East and Africa, including Hackmamba.io, Procta.org and LI.FI.
The launch comes as the market for developer documentation is being reshaped by AI coding assistants, which increasingly consume technical content on behalf of developers.
Stack Overflow’s 2025 Developer Survey found that 84% of developers use or plan to use AI tools, while only 29% trust their accuracy. At the same time, documentation is increasingly being read by machines rather than just developers. Mintlify’s July 2026 traffic report recorded 213 million requests from AI agents against 105 million human page loads in a single month.
That creates a potentially costly problem for software companies. An outdated API reference or code example can now be surfaced not only to a developer but also to an AI system generating code for thousands of users.
“At several companies, the teams I led owned the documentation, and I did this work myself: hours spent reconstructing what a change meant, then hunting for every public page it touched,” Eze said. “Now that product changes ship faster and AI tools read the docs more than people do, that gap is more expensive.”
From Developer Tools to Knowledge Infrastructure
Thally is positioning itself as a layer between a software company’s codebase and the information customers use to understand the product.
Rather than asking engineering or documentation teams to manually identify every page affected by a product release, the service tracks changes in repositories and proposes corresponding updates.
The company says it does not automatically merge or deploy those changes, preserving human approval as the final step.
That distinction is important for a category where inaccurate automated changes could create as many problems as stale documentation.
“We write and maintain technical content for developer-focused companies, and the hardest part has never been the writing. It is knowing which pages a product change just made wrong,” said William Imoh, CEO of Hackmamba.
Thally’s broader documentation platform provides managed hosting and publishing tools, while its underlying documentation engine is MIT licensed and available for self-hosting.
The company is also building around the growing requirement for documentation to be accessible to AI systems. Its platform can expose documentation in machine-readable formats and through the Model Context Protocol, allowing AI tools to retrieve information directly from a company’s documentation.
Bootstrapped Growth
Eze started Thally after more than seven years in developer experience and developer relations at Flutterwave, Netlify and LI.FI.
The company released its beta in August and has since accumulated more than 100 active workspaces, according to Eze. The figure includes teams participating in the company’s 14-day trial.
Thally is not disclosing revenue or outside investment.
The startup is instead betting that software companies will increasingly treat accurate documentation as part of their product infrastructure as AI becomes a major interface for discovering and using software.
That market could expand as AI-generated code increases the cost of inaccurate technical information. Developers already report AI assistants producing code based on nonexistent APIs, obsolete methods and outdated implementation patterns.
For Thally, the opportunity is therefore less about selling another documentation editor than becoming part of the workflow that keeps a software company’s public knowledge aligned with the product itself.
$199 Monthly Plan
Thally offers a free tier for one documentation site. Its paid Cloud service costs $199 a month or $1,990 annually, with additional enterprise features including SSO, SAML, SCIM provisioning and audit logs.
New customers receive a 14-day Cloud trial without providing a credit card.
The company says its system is designed to handle large numbers of repositories and frequent product changes without imposing run limits based on deployment volume. For a bootstrapped startup, the early customer count gives Eze an initial base from which to test whether companies will pay to automate a task that has traditionally been split among engineers, product managers and technical writers.