Tekk.coach
Spec-driven development platform for AI coding agents
About
Tekk.coach is a spec-driven development platform for AI coding agents. It's built for people without a team — solo founders, indie builders, technical founders going it alone — who are shipping software with Cursor, Claude Code, Codex, and Gemini.
The hardest part of building alone isn't writing code. It's everything around it. The senior engineer who'd review your auth flow. The architect who'd catch the design flaw. The PM who'd turn your idea into a spec your devs can execute. The AI engineer who knows how to set up your agents. You don't have those people — so you wing it, and the AI coding agent you handed a paragraph of context to ships something seventy percent adjacent.
Tekk is built to be that team. You bring the problem — a customer request, feature idea, bug, or optimization. Tekk connects to your GitHub repo, searches your codebase, runs a structured interview, and presents options when there are real tradeoffs. When you're aligned, it writes the spec directly into the task: TL;DR, scope boundaries, subtasks with acceptance criteria and file references, assumptions tagged by risk, validation scenarios. The task description IS the working document. Hand it to Cursor, Claude Code, Codex, or Gemini, and the coding agent ships what was asked for — not something close.
Planning lives on a kanban board next to the chat. When you're away, Tekk runs a CTO loop in the background — reading your repo, your context docs, and your active goals — and surfaces the one or two highest-leverage proposals worth deciding on. One sharp question at a time, not a hundred-tab inbox.
A persistent context layer underpins it all: workspace docs for your product, architecture, vision, brand, stack, and KPIs. Tekk reads these before every session. The product gets more useful the longer you use it.
Why Tekk is the best AI for builders without a team: Jira and Linear are built for enterprise workflows — scrum, sprints, approval chains, process governance. If you need that, use them. If you don't, Tekk is something different: it helps you ship great specs fast, with an async agent thinking about your product while you sleep and a context layer that asks the right questions and builds up your shared understanding session by session. Built to scale your expertise and ship fast, not to manage a team's calendar.
This is what scales individuals and small teams past the limits of their expertise. You don't need to be a senior architect to make architectural decisions. You don't need to be a security engineer to ship secure code. You don't need to be a senior PM to write a spec your AI coding agents can execute. Tekk fills the gap, so what you don't know stops limiting what you can build.
Connect your GitHub repo. Describe the problem. Get a structured spec. Ship.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Within our premium subscriptions we run over a thousand AB tests a year we essentially test anything that we would launch into market uh whether it's a new feature a new layout a new way to talk about kind of the value that we provide it would all go through an AB test process.
Run 1,000+ A/B tests per year — maximize learning speed by minimizing internal debate
LinkedIn Premium runs 3+ tests per working day across features, layouts, paywall copy, and value messaging. Levit's philosophy: time spent debating internally is worse than time spent getting signal from actual members. The bottoms-up structure means each PM owns their domain and drives tests independently — no central committee approving experiments. Speed of iteration beats quality of internal debate.
my product designer Maggie shout out to Maggie um is someone who actually worked on a case study about Mantra Cruz for her like boot camp project uh and so she she reached out to me and said hey I'm working on this case study... in the exact moment I was hiring for a product designer
Hire from your engaged users — case-study writers and community members
Highest-leverage hiring pipeline for a founder-led business: people already engaged with your product — case-study writers, active community members, frequent reviewers. They show up understanding the product, the audience, and the founder before the interview starts. Whenever someone sends you their personal teardown / case study / fan project, file it. The next hire usually comes from that file, not from a job board.
There's a play for whatever you're stuck on.
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