从内部bug工具做到7位数ARR：Gleap的有机增长之路

Bootstrapping a 7-figure business

I'm Lukas, cofounder and CEO of Gleap. My background is in software engineering — before Gleap, I cofounded and ran BoehlerBrothers, a software agency in Dornbirn, Austria, where we built apps and products for clients for years. Gleap grew out of a problem we faced daily at the agency: Clients reported bugs in long, vague emails that developers couldn't act on. We built an internal tool to fix this, and validated it almost by accident — when clients saw it, they kept asking if they could use it too. That signaled this wasn't just our problem, so we launched it as BugBattle in 2020. In 2021, we rebranded to Gleap and spun it out of the agency as a standalone company. Gleap has evolved from a bug-reporting tool into a full AI-powered customer support and feedback platform. More than 4,500 software teams use Gleap today, and our widget reaches roughly 250 million end users monthly. We're bootstrapped and profitable, with about 75% of our customers in the US. Kai now resolves the majority of tier-1 support conversations for many of our customers before a human ever reads them. We crossed 7-figure ARR and are profitable, growing 4-8% month-over-month, all organically.

Building the first version

We built the initial product as a side project inside our agency. We didn't set aside a budget or raise money for it — we carved out time between client projects. That's the advantage of starting from an agency: we had the engineering talent, the infrastructure, and the cash flow already in place. The first version was deliberately narrow: an SDK you could drop into your app that let users report bugs with a shake gesture or button tap. Because we were our own first customer, the feedback loop was brutal and fast. Our agency clients became the first beta testers. We stood on the shoulders of the usual suspects: open-source frameworks for our SDKs and standard cloud infrastructure allowed a small team to ship native SDKs far faster than would have been possible a decade earlier. Overall, it took us roughly a year from the first internal version to the public launch as BugBattle — a handful of people built it, our own agency funded it, and we validated it on real projects before a single stranger ever paid for it.

A standard stack

Gleap is a TypeScript/Node.js shop at its core. The backend uses Node.js with MongoDB as its primary database, and as our data volume grew, we added ClickHouse for analytics and event data. We run a fairly standard stack around that: Paddle for billing, Postmark for transactional email, and New Relic for monitoring and observability. The most distinctive part of our stack is the SDK layer, we maintain seven native SDKs across different platforms. When we went AI-first, the stack changed most dramatically: we layered an entirely new stack on top of the existing platform including LLM orchestration, RAG pipelines, and Langfuse for LLM observability. The hardest lesson was that shipping an AI feature is 20% prompting and 80% evaluation, guardrails, and context engineering.

A two-part business model

Gleap is a classic B2B SaaS subscription business with a usage-based AI layer. Our plans run from $49/month for solo developers up to $999+/month for enterprise customers with compliance needs. On top of the subscription, AI usage for Kai is billed by token consumption and model choice. We started charging almost from day one, coming from an agency background, we never had the luxury of burning VC money on free users. Our pricing has evolved significantly since then: We launched with cheap, per-seat plans around $19–119/month, and we eventually moved to value-based platform tiers with unlimited seats on higher plans. Revenue expansion comes from three directions: plan upgrades, AI usage, and consolidation. Going AI-first caused our biggest revenue inflection. My advice for aspiring entrepreneurs: charge early, even if it feels uncomfortable — a customer who pays $19 teaches you more than a thousand free users.

SEO and PLG

As I mentioned, our first users came from our existing network. Content and SEO have compounded most for us, we publish consistently on topics our buyers actively search, over the years this has built an organic engine that brings in trial signups every day without paid spend. Alongside it, review platforms like G2 perform quiet but steady work. The product itself is our most unusual channel, the Gleap widget sits inside our customers' apps and reaches roughly 250 million end users a month. The AI shift also changed our go-to-market strategy, with Kai, we stopped selling features and started selling an outcome. My growth advice: Pick the channel that compounds and be patient. Paid ads stop the moment you stop paying; content, reviews, and product-led distribution keep working while you sleep.

Advice for indie hackers

Familiarize yourself with modern coding agents and tooling, build MVPs, start charging early, do customer support and listen to your users, never give up, keep pushing every day — even a little improvement accumulates!

What's next?

We aim to be the platform that supports self-healing software development, allowing everyone to put their software on autopilot and focus on what matters to their business, so they don't lose resources on customer support, bug fixes, etc.