Post #70

100 Top Analytics Startups Backed by Y Combinator Y Combinator, one of the most famous and respected startup accelerators, has updated its list of analytics startups. In addition to well-known companies like Amplitude and Mixpanel, the list now includes new players. Here are a few standout analytics startups funded in 2025: 1. Daxa — AI that tracks how users interact with your product. It helps you spot problems before users quit and recommends features to improve conversion. 2. Code Four — AI for police. It turns camera footage into reports and summaries in seconds. 3. Labric — Makes messy lab data clean and clear. It connects and organizes information from lab instruments to help scientists make discoveries faster. 3. nao Labs — Like Cursor, but for data teams. It understands your data, connects to storage, and writes working code automatically (according to their promo). 4. Artificial Societies — AI that simulates how groups of people behave. You can test how your audience (like investors or LinkedIn followers) might react to your ad, post, or product before you launch it. 5. Operand — AI that looks at your business data (prices, ads, inventory, competitors) and suggests strategies to boost profits. (Full list of 100 startups) (Y Combinator startups are also hiring — you can check out open positions here) What are the trends? 2022–2023 startups: Mostly focused on improving traditional analytics tools. 2024 startups:Trend toward AI assistants — tools that help analysts but still require the user to give instructions. These tools focus on making analytics easier (e.g., helping with SQL, Pandas, Jupyter). 2025 startups: Trend toward autonomous AI agents, not just assistants. These agents don’t wait for your input. You launch them once, and they keep analyzing, spotting issues, and suggesting actions on their own. (If you want to understand the difference between AI assistants and agents, here’s a clear article) Extra takeaways: 1. Just because a startup is funded by Y Combinator doesn’t mean the product is fully ready. Many of them are still raw or questionable if you test them now. 2. AI isn’t replacing analysts. Instead, it shifts the focus — from boring tasks (like SQL and basic reports) to more strategic and creative work. If you liked this format, hit the 🔥!