Reforge

Reforge is not cheap, but, man, what a quality. Two weeks in on their AI Strategy ✨ course with Ravi Mehta, and no regrets. If you are feeling overwhelmed by all the possibilities of AI, I recommend taking some of Reforge's courses on the topic. Last spring I took "Mastering AI Productivity" (for Product) with Sachin Rekhi and loved just as much. Below a screenshot of the live classes we had and will have. It's 1h a week + all the recorded prep material we watch before the class.

I just uploaded our draft 2026 plan to Reforge Insights, and it auto-suggested reports to create from our customer feedback. Here is how… Reforge Insights uses AI to aggregate and analyze fragmented customer feedback, eliminating hundreds of hours of manual work. The problem with most AI feedback tools? They're generic. They don't know your roadmap, your competitors, your target ICP, and more. Different team members all enter different context, sending the AI off in different directions. Today we are introducing Context Engine to Reforge Insights to fix this. Upload your strategy docs, roadmaps, positioning, etc. Reforge Insights starts to apply it everywhere: → Automatically suggest and create reports that match the company’s goals → AI Chat answers questions with the company context in mind → Generates docs based on customer data and your product principles → Recommends tags and taxonomy that evolve with your business → Tracks competitors that matter most to the business Instead of: “Here are your top feature requests” You get: “Here are the top feature requests that address your Q1 goals” Instead of: "A top theme is users want better integrations" You get: "Mid-market, your top ICP, are requesting Slack integration" Customer feedback needs internal context to make it actionable. Check out more below.

“Feedback and data…it’s like one orange.” “We want to help you squeeze as much juice out of that orange as possible.” Brian Balfour has a great metaphor for describing how they price Reforge’s Insights product. Unlimited seats. Unlimited AI use cases. They only charge for the volume of data they process annually. It passes what Brian called the three checks: 1) starts with perceived value, 2) unlocks future growth loops, and 3) has a clear grounding in cost-to-serve. This came to mind as I saw that they had launched yet another AI-native product. During our chat, Brian had mentioned that they’d ship four before the end of year. They’ve already done that. It’s phenomenal velocity for a team charting a second act. 👏🏽 There’s a lot more in our conversation, including: - How they’re thinking about pricing multiple products that now enable the whole product cycle (from research and prototyping to feature flags). - Why he believes it’s still early days for AI monetization - Lessons from his time leading growth at HubSpot - The next distribution platform (OpenAI’s Atlas browser is a part of that) and the prisoner’s dilemma that’s already playing out - His philosophy on capital (venture-backed ≠ venture scale and non-venture-backed ≠ non-venture scale) ICYMI when it first aired, catch the full episode: YouTube: https://lnkd.in/e5ei2BrX Spotify: https://lnkd.in/e73ZBkvy Apple Podcasts: https://lnkd.in/esD8ebXy

One team that is absolutely cooking right now is Reforge. With tech giants seemingly dropping huge announcements every single week, companies like reforge have been able to fly under the radar. But Brian Balfour is just churning out new AI products targeted at PMs covering everything from prototyping to user research and survey tools. Their ecosystem of learning & tooling for PMs and growth is so solid and their upsell/cross-sell flywheel is going to be unbelievable 👏

Interview 200 users, in-product, across 10 countries in 24 hours without sending a single calendar invite. Introducing Reforge Research. Reforge Research combines our AI User Interviewer and AI-Powered Surveys into a single, easy-to-use product, starting at just $50/month. Check It Out Here: https://lnkd.in/g-3pUATZ Our goal with Reforge Research is to take product teams from "we can't afford to talk to users" to "we're continuously capturing new insights from every segment, in every market, at our key product moments." Today, we are releasing new capabilities such as multi-language support, AI-guided creation, and a beta of in-app triggers. 🗣️ Multi-Language Support 🗣️ The Problem: Your product is international, but your research isn't. With Reforge: Run AI interviews in any language, automatically. Users respond in their language. Analysis happens in yours. 📝 AI Guided Survey and Interview Creation 📝 The Problem: Creating good research is hard. You need to know what to ask, how to ask it, and how to structure the conversation to get actionable insights. With Reforge: AI guides you through creating your research plan, automatically generating discussion points and survey questions like a senior researcher. 💬 In-App Research (Beta) 💬 The Problem: Traditional research happens after someone uses your product. You schedule a call for next week. They forget the details. You miss the moment. With Reforge: Trigger AI interviews or surveys directly in your product, at exactly the right moment. Lots of details below.

Would you trust an AI to interview your users? We did, here's what happened 👇 Reforge Insights just launched its new AI Interviewer feature. We weren’t sure if people would actually talk to an AI, so we put it to the test. Here’s how we validated it before considering it for regular use: 1️⃣ Invited a small group of users via our main dashboard to take an AI-led interview. 2️⃣ Offered an incentive so there was no downside. Even if they hated the AI, they got something out of it. 3️⃣ Asked the AI to collect feedback on itself at the end. The tool itself is kind of wild. You just describe in natural language what you want to learn. It builds out themes and questions automatically, and within minutes, you’ve got a ready-to-run interview. The feedback? Surprisingly positive. Most said it felt natural, and it did a solid job keeping the conversation flowing. It’s now part of our research toolkit, letting us gather qualitative insights at a much larger scale. Big shoutout to Chun Jiang and the Reforge Insights team for building something genuinely useful. (Link in comments if you want to give it a go.)

AI products need constant tuning. Updating prompts, adjusting model settings, token rate limits, and more. You’re no longer flipping a switch. You’re tuning a system. Most importantly, every adjustment can’t become an engineering ticket. Introducing Reforge Launch: AI-native feature flags and configuration. Launch lets you treat your product as a living system → You can test new models with specific customers. → Adjust prompts without deployments. → Roll out AI features gradually. → See what's working where. Reforge Launch gives product teams real-time control over the AI experience their customers see, while being designed for developers who expect their tools to be as intelligent as the AI features they're building. For developers, Launch is: → Agent-ready: AI coding assistants can automatically wrap new features in flags. → Self-cleaning: Automatically detect stale flags. → Custom objects: Store full objects such as prompts, model params, etc. → Type-safe SDKs for your stack: Native libraries for Python, Node.js, Ruby, Java, Go, and React. → MCP: MCP lets your coding environment talk directly to Launch Traditional software was deterministic. You shipped a feature, QA tested it, and it behaved the same way every day. AI broke this model. Launch is the fourth product in our suite for AI-native product teams. → We started with Reforge Insights to aggregate and analyze customer feedback. → Added Reforge Research to capture new insights through AI interviews and surveys. → Then recently released Reforge Build (beta) AI prototyping for product teams. Launch completes the cycle, enabling builders to go from insight to launch. Lots of information below.

Something worth sharing with Product folks: https://lnkd.in/grQhi-qY Brian Balfour article on Reforge covers multiple layers of what the product work with AI will really mean for us with great examples that summarizes the complexity of the software development new setup. Attaching my favorite here: Customers expectations on products relying on AI.