Olivier Chancé

For the last two years, SaaS teams shipped AI capabilities faster than pricing and packaging could keep up. But 2025 marked a turning point — the monetization gap started to close. And the data shows a clear shift in how SaaS companies are adapting. In the PricingSaaS Trends Report (Q1 2026), we analyzed pricing, packaging, and product changes across 498 SaaS companies. The highlights: 1️⃣ Change is now the default Pricing pages aren’t staying static anymore — packaging events were up +21% YoY, product events +16%, and pricing events +15%. 2️⃣ Structure mattered more than price The most common move wasn’t raising prices — it was restructuring around consumption, credits, and hybrid models. 3️⃣ Credit-based pricing went mainstream Credit model adoption grew +126% YoY, offering a flexible way to monetize AI while staying finance-friendly. 4️⃣ Packaging is moving faster than pricing New plans, add-ons, thresholds, and usage limits became the quickest lever to adapt to evolving AI use cases. 5️⃣ Metrics are evolving Companies are shifting value measurement from seats and time → tokens, sessions, workflows. 6️⃣ AI moved into the core product Late 2025 saw AI features shift from gated add-ons into core plans — alongside the rise of agentic workflows. 👉 Swipe through the carousel for the key insights. And if you want the full dataset + company examples, check out the complete report at PricingSaaS.com/reports.

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BREAKING: YC just published its startup wishlist 💫 ① Cursor for Product Managers AI that decides what to build, not only how to build it ② AI-Native Hedge Funds Agents reading filings, placing trades, inventing strategies ③ AI-Native Agencies Service businesses rebuilt with software-level margins ④ Stablecoin Financial Services Banks on crypto rails without legacy friction ⑤ AI for Government Forms, permits, and workflows processed at real speed ⑥ Modern Metal Mills Physical factories redesigned around software control ⑦ AI for Physical Work Real-time guidance for trades, nursing, and manufacturing Each one has multiple viable entry points. I broke down all seven into 10 concrete build angles each. 70 startup ideas. With customers, revenue models, and first distribution paths: https://lnkd.in/dNMnt7Xt by the way, here are more Startup Resources you'll love 👇 • 10k Investor List: https://lnkd.in/eQHXjjpP • 20+ Financial Model Templates: https://lnkd.in/eniYg7JH • Claude workflows, prompts and templates to make it your coworker: https://lnkd.in/ettUa_YU • 45+ AI Decks (Eleven Labs, Artisan, etc.): https://lnkd.in/etqM3-ik • OpenAI’s New Playbook for Product-Market Fit in AI Startups https://lnkd.in/dy-HgVtX • 2,500+ Angel Investors Backing AI Startups - https://lnkd.in/djjN-TD2 • 50 AI Agent Startup Ideas for 2025 - https://lnkd.in/dy9E-MCn • Family Offices list: https://lnkd.in/e72hVhph • How to use Lovable instead of PPT presentations - https://lnkd.in/eKfM7VRa 50 more here: https://lnkd.in/d_NvAM_9

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What does it take to keep one of Europe’s biggest Rails monoliths running smoothly? In this week’s 'On Rails', Robby Russell chats with Florent Beaurain from Doctolib, where 400+ engineers work on a Rails monolith with 3M+ lines of code. Florent shares how they manage 84,000 tests, scale across 10 PostgreSQL databases, and keep Rails upgrades on track. Listen to the full episode here: https://lnkd.in/ez5U8BPs

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Big News: Stellar is launching a benchmark on Product development speed and quality. Here’s why I’m fully backing this initiative: One major weakness in many French companies: their execution speed. And speed matters for everyone: - Business - Finance - Marketing - HR But also for Product and Tech. And it’s even more critical because everyone in a tech company depends on Product. When a company ships fast, it: -Fixes bugs more quickly -Gains an edge over competitors -Collects feedback faster -Tests new ideas more rapidly Yet, more than 50% of French companies don’t deploy to production every week. And while there are exceptions, most companies should be doing it. This is a shared belief among all the CPOs at Stellar (co-founded by Timothe Frin from the Clef de voûte podcast). When Timothé and David created Stellar, they wanted to help leaders ship faster. So they came up with an idea: A benchmark on Product development speed – based on data from 110+ companies. The goal? To help Tech C-levels understand where their Product org stands. After 3 months of work, Stellar is launching its benchmark. Inside, you’ll find: -A system to measure Product development speed -Data from 110+ companies on speed and quality -Key indicators to assess Product quality -The 10 best-performing companies You are a C-level and want access to the benchmark? 👉 Get it here (100% free): https://lnkd.in/eXdTtp8x

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📍𝗧𝗵𝗲𝗿𝗲’𝘀 𝗮 𝗻𝗲𝘄 𝗵𝗼𝗺𝗲 𝗳𝗼𝗿 𝗔𝗜 𝗶𝗻 𝗘𝘂𝗿𝗼𝗽𝗲: 𝗙/𝗮𝗶, 𝗶𝗻 𝘁𝗵𝗲 𝗵𝗲𝗮𝗿𝘁 𝗼𝗳 𝗣𝗮𝗿𝗶𝘀 🇫🇷 We are incredibly proud to partner with STATION F for the launch of F/ai, the 𝗻𝗲𝘄𝗲𝘀𝘁 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 𝗯𝘂𝗶𝗹𝘁 𝘁𝗼 𝗵𝗲𝗹𝗽 𝗘𝘂𝗿𝗼𝗽𝗲’𝘀 𝗺𝗼𝘀𝘁 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀 𝗔𝗜 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 turn technical depth into category-defining global companies. 🧠 with 𝟴𝟬% 𝗼𝗳 𝗦𝗧𝗔𝗧𝗜𝗢𝗡 𝗙 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗻𝗼𝘄 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲, the momentum is undeniable. 🤝 We’re 𝗵𝗲𝗹𝗽𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗺𝗼𝘃𝗲 𝘁𝗵𝗲 𝗻𝗲𝗲𝗱𝗹𝗲 through mentorship and sharing the expertise needed to build secure, scalable products. 📈 by focusing on moving fast, shipping products, and building responsibly, we’re helping 𝗘𝘂𝗿𝗼𝗽𝗲’𝘀 𝗺𝗼𝘀𝘁 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀 𝗔𝗜 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝘀𝗰𝗮𝗹𝗲 𝗳𝗿𝗼𝗺 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗱𝗲𝗽𝘁𝗵 𝘁𝗼 €𝟭𝗠 𝗔𝗥𝗥 Incredible to see Roxanne Varza unite such a unique group. The future of AI is being built in Paris. ❄️ More than 𝟳𝟬% 𝗼𝗳 𝗘𝗠𝗘𝗔 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗳𝗿𝗼𝗺 𝗙𝗼𝗿𝗯𝗲𝘀 𝗖𝗹𝗼𝘂𝗱 𝟭𝟬𝟬 𝗹𝗶𝘀𝘁 are building on Snowflake, with barely 𝟱𝟬% 𝗼𝗳 𝗡𝗲𝘅𝘁𝟰𝟬 𝗶𝗻 𝗙𝗿𝗮𝗻𝗰𝗲, we’re excited to contribute to a curriculum designed specifically for the unique challenges of scaling AI. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲? Visit: https://lnkd.in/ePKaVfiP and reach out 💬 #stationf #snowflake #fai

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