Launched this week
Samepage Signals
Your second brain for product management
239 followers
Your second brain for product management
239 followers
Built specifically for the best product leaders, Samepage Signals automatically surfaces the information and insights that are most important to you across all of your tools and web, in one place.
Samepage Signals
Hi Product Hunt! 👋
Sahil here, CEO & Co-founder of Samepage.
Today we're launching Samepage Signals — a second brain for product leaders.
We're also excited to share that we've raised $4.85MM from awesome folks like Craft Ventures, Freestyle VC, Glasswing Ventures, and a lineup of incredible angels, including Justin Kan, Matt Mullenweg, and others. Many backed our last company, AdStage, so we feel very fortunate to have them along for the ride with us again!
Here's the thesis: AI is rapidly changing and speeding up product development. Much more can be built than ever before, which means the hard question is no longer, "Can we build this?" — it's, "Should we build this?" That puts even more weight on product judgment, taste, and discernment. We built Samepage Signals for this new world.
Samepage Signals connects across the tools you already live in (Jira, Linear, Figma, Productboard, Slack, Notion, Gong, Salesforce, and many more) and builds a dynamic profile of who you are, what matters to you, and automatically surfaces information and insights so that you're always on top of everything. Especially helpful considering a big part of the product job is keeping everyone else aligned.
Things like:
🟢 Surfacing new feature ideas pulled straight from sales calls that aren't in your existing roadmap
🔭 Competitor developments worth tracking, like pricing changes or new product announcements
📊 How your newly launched feature is performing against other features
🚦 What shipped, what's in progress, and what may be blocked, and how to unblock it
We believe information should be a push, not a pull. You shouldn't have to go digging across ten tabs to find out what changed — it should come to you automatically.
After our last company was acquired, this is truly the product we most wished we'd had when we got dropped into a much larger org and realized no one was on the same page.
We've spent the last few months in beta working with hundreds of product leaders. Those conversations and insights bring us to today, where we are excited to be opening the product up to everyone
We'll be here in the comments all day! We'd genuinely love your feedback, your skepticism, and your feature requests. 🙏
@sahilio Congrats on the launch Sahil and team. Been following since what seems like day 1 (maybe day 0!), and so needed within orgs. looking forward to implementing at Magic Mind.
Samepage Signals
@james_j_beshara Thanks James! I'd say definitely day 0! Looking forward to having the Magic Mind team in there!
@sahilio Congrats on the raise. Man, now I can say I met that Sahil guy way back when.
Samepage Signals
@jchernov I already say that about you! Thanks Joe!
Workspaces
Congrats to the team on the launch! I've been using the product for a bit now and am happy to see it available for all 🙌
Quick note on how I've been using it: I'm not a traditional PM or product leader, which I think is exactly why I didn't expect to get so much out of this.
I run a newsletter and lead partnerships at a startup. My problem has never been "not enough information"... it has always been that the stuff I actually needed was scattered across too many tools and I'd only stumble onto it when I was in a hurry to meet a deadline.
Samepage Signals flipped that. Two surprising things that I've been using it for:
👀 Keeping a pulse on competitors in my space without me having to go searching Google or Twitter every morning
✨ Cutting the "what did I miss?" tab-hopping at the start of the day down to basically zero
The "push, not pull" idea sounds like a tagline until you live with it for a week. Then going back to the old way feels broken.
Samepage Signals
@ryangilbert Thanks for using the product! Using it to keep a pulse on competitors is actually the onboarding signal we help you set up as a lot of our customers have found that to be a quick win.
It is hard not to read the automated signals generated with my first cup of coffee every morning!
DMV by Agent Community
AI is making it easier to build more things, but that probably makes product judgment even more important, not less. The hard part becomes knowing what actually deserves attention.
Samepage Signals feels useful because product context is usually scattered everywhere: Slack, Linear, Figma, Notion, calls, customer notes, sales feedback... and the important signal is often buried between a lot of noise.
I’m especially interested in how it learns what matters to each product leader. does it mostly follow explicit preferences, or does it adapt based on what someone opens, ignores, shares, or acts on over time?
Samepage Signals
@andrasczeizel Great question, Andras.
Have you seen that early episode of Black Mirror where the husband unfortunately passes away, and the widow is able to send all of his messages into a service, and they regrow "him"?
Creepy, but that's the inspiration we took for our Profile we generate for you. Once you link various tools, we go across them to build out a profile of you: who you are, your voice, tone, style, any active goals we can infer like OKRs are general team goals. We then also have pre-built a Product Playbook, with 30+ articles of best practices on things like prioritization frameworks, PRD writing, etc.
All of this builds out a rich profile of who you are as a product person, so that when we go to generate new signals for you in the morning, it uses that context. What's really cool is we took into account that you as a person also change, so you're profile will also continually update accordingly!
DMV by Agent Community
@sahilio That makes sense, and honestly the Black Mirror reference is a very memorable way to explain it :)
The continuously updating part is probably the most important detail for me. Product work changes so quickly, especially in early-stage teams, that a static “profile” would get outdated fast. I also like that you combine inferred context with actual product best practices/playbooks. That feels more useful than just building another memory layer.
Thanks for the reply!
Samepage Signals
@andrasczeizel Thank you for your thoughtful question! We agree!
Rye
I’ve known Sahil for a long time and invested because I think he has unusually strong product judgment. As AI makes building software dramatically easier, the bottleneck is increasingly deciding what to build and staying on top of the constant stream of customer, team, and market signals.
Samepage Signals is tackling exactly that problem by pulling together context from all the places product teams already work instead of creating yet another dashboard. Excited to see what the team builds from here. Congrats on the launch!
Samepage Signals
@justinkan Thanks Justin! We're very fortunate to have you as an investor.
This line "staying on top of the constant stream of customer, team, and market signals," is really what this initial product launch is all about, and what our beta customers have been using the product for over the last few months.
Sometimes you don't need another AI agent that claims to do everything for you, while also making you breakfast! In our case, we built the agent for the product person, with product wisdom baked directly into context, so that they don't have to. And what it delivers may sound simple, but is super useful.
Genuine question - how is this different from what Notion AI, Linear AI, or Dovetail are doing? The "second brain for PM" framing has become pretty saturated. Every tool in the category now surfaces signals and generates summaries. What's the actual unlock here that a PM's existing stack can't do? Is the value in the aggregation layer specifically, or is there something about the PM workflow that product-native tools miss by building AI on top of a tool they already own?
Samepage Signals
@galdayan Appreciate the question. You're right that it's partly the aggregation and partly the PM-specific workflows. After hundreds (thousands?) of interviews with PMs, we kept seeing the same thing: tools like Notion and Linear each automate a slice of the process, but no one owns the whole flow. Then AI tools like Claude, n8n, and ChatGPT can be configured to run automation, but lack the data and context without significant, and I would argue, brittle configuration. l
In other words, sales feedback lives in Gong, product docs in Jira, and strategy in Notion. A ton of conversations still happen in Slack and email. Our approach is twofold. We have a unique way of storing and structuring that data so it's actually accessible to the models, and we've built a full product playbook into the product, with best practices spanning feature discovery, roadmapping, prioritization, and the go-to-market work around it. So it's the aggregation plus the product-specific context that generates useful insights with minimal setup.
Also, there's a free plan, so I would love for you to try it and get your honest take on how we did!
Google
Wish we had this when I was working in product! Amazing to have an agent doing the hunting for insights and pulling relevant signal from the growing data set.
Samepage Signals
@jaredsf You're a product legend, so that means a lot! It's not the agent that will do the entire product job, but we think one that enables the function well.
Maven
Incredible team and product!! So excited for this to shape product development in an AI era
Samepage Signals
@gagan_biyani Thanks Gagan! Major changes to how product is being developed, so a fun time to be working alongside PMs. Wild to think about this product vs the prototype of a very diff Samepage product over 2 years ago!