Heyday is an AI copilot that turns your emails, documents, notes, and articles into insights, shareable content, and a queryable database.

I used Heyday for months. The team doesn't seem to care about product feedback and the search interface has stagnated and extension has become more annoying (highlighting keywords). I love the idea behind it, though.

As someone with a sloppy brain who spends a lot of time on the internet, Heyday's ability to organize everything for me is a life-saver.

Heyday is the product I wish I could have created. I have long-sought a tool to effeciently capture the various topics I am researching. Other note-taking tools require a lot of effort (tags, manually adding notes or clips, copy-pasting URLs, etc). Heyday just works. It passively collects and organizes the topics I am researching so I can quickly go back and find what I need, when I need it. I highly recommend it for anyone who has 100+ browser tabs open, is drowning in sticky notes (digital or otherwise), or needs to keep track of research information over time.

As someone with a sloppy brain who spends a lot of time on the internet, Heyday's ability to organize everything for me is a life-saver.

Heyday turns your conversations, documents, and articles into quotes, shareable content, and a queryable database.

It’s great to be back, PH fam! I’m Sam, co-founder of Heyday. My co-founder Samiur and I will be answering your questions for the next 24 hours. Hit us with anything! As @Samiur1204 mentioned, our decision to focus on executive coaches unlocked a level of traction we hadn’t hit when we first launched Heyday. And we think it will be the reason why we ultimately achieve our goal of building the AI copilot for all knowledge workers. But like being told to “talk to your users,” being told to “focus on a specific niche” is not specific enough advice to be helpful. Below, I’ve shared the process we ran to choose a niche. I hope it helps you whether you’re building a startup or hustling on a side project! 👉 Create a criteria of persona we want to serve Does this person have a hair-on-fire problem? Is it ongoing? Would they pay to solve their problem? Do they have an urgent need to switch to us? Are there a lot of these people or are they very well connected with other groups? We knew we’d want to be able to answer “yes”, to any persona we selected. 👉 Investigate existing user base for “weird” behaviors We looked into our database to see who was using Heyday in extreme ways. This pointed us to folks who were motivated to solve a problem, many of whom had a profession that we didn’t think of as one who might need our help. 👉 Interview folks to learn about their problems With quantitative usage data and no additional context, we wouldn't have understood the problems folks were trying to solve. Our conversations shed light on this. 👉 Select a few personas to run an initial experiment After learning about the problems of ~50 people and whether they met our criteria, we had a shortlist of personas to work with - Coaches, Equities Investors, Consultancy CEOs, and Writers. 👉 Manually super-serve people in the target persona We chose 3-5 people from each person and started working for them as consultants. Before we wrote a single line of code, we wanted to be sure we understood their problem deeply and identified a solution that would make them ecstatically happy when delivered. 👉 Identify 1 user persona that we are making ecstatic What does ecstatic look like? We looked for two signs: 1. They spontaneously told friends how we were helping them 2. They said they would happily pay $100/month for the service we provided. Coaches were ecstatic about how we were helping them. 👉 Build tools for ourselves to serve 10 times the number of users By this point, we were confident that we understood the problem and desired solutions for this small group of coaches. But with such a small group, we had to be sure that a larger group would feel similarly excited. Instead of trying to nail the product experience at this point (costs time + $$), we built internal tools for ourselves and consulted 10x as many coaches. 👉 Incorporate the features into the product When 60% of coaches in this larger group agreed to pay us $100/mo, we knew we were ready to flesh out our product and bring more coaches on board. That’s our process for choosing a specific persona. Let me know if you have any questions about this process or Heyday in the comments below!

@samiur1204 @aakash_verma16 Thank you Aakash!

@samiur1204 @samdebrule Looks super interesting, looking forward to using it. Congratulations on the launch.

@henningsillerud It only works well in English now - but would love to add support for more languages!

@samdebrule great user research summary ! You are attending to a product market fit.

@samiur1204 @samdebrule smart focusing on a niche and appreciate the tactical step by step here. Congrats, excited to check it out!

It’s great to see you again Product Hunt fam! I’m Samiur, one of the co-founders of Heyday. Nearly two years ago, we launched our Chrome extension on PH and won Product of the Month. After the launch, we grew to hundreds of paying customers at 57% DAU/MAU, and ~3% monthly churn. We even raised a Seed round and hired 4 teammates. We thought we were on our way to a Series A. Then the world changed. OpenAI made it easy for developers to build world-class AI into their apps. And just like that, a horizontal productivity tool differentiated through its AI, like Heyday, wouldn’t be able to compete. We realized that the most successful products in this new world would be those that specialize for the needs of a specific persona, the way Github Copilot does for engineers. To survive, we selected executive coaches as our target users (my co-founder @samdebrule shares the story behind this decision in his maker comment) and refashioned our product to solve their specific needs. To help coaches, we needed to understand their data/context and fit in seamlessly with their workflow. We’ve made coaches ecstatic with what we built (~50% conversion from trial to paid), and in the process, we stumbled upon a feature set that has organically been helpful to non-coaches who do a ton of research. Our goal is the same as it was when we first launched Heyday on PH two years ago - build an AI copilot that serves all knowledge workers. Today, we think we’ll get there by building product experiences that serve specific personas one by one. And that’s why we’re excited to share Heyday with you today. We hope to learn from you as you use it - and your persona might be the one that makes the most sense for us to serve next. 🙀 The problem Our brains weren't built to handle the volume of information on the internet. Modern AI tools like OpenAI try to help, but they aren’t trained to solve the specific needs of your job, don’t have access to your context/data, and require a lot of manual work (and know-how) to bend it to your will. 😻 The solution Productivity tools should easily pull in our context/data, seamlessly integrate into our workflow, and be tuned to the specific needs of our jobs. What you’ll love about Heyday: - Summarize key points and find answers that draw from all of YOUR emails, documents, notes, and articles - Get specific advice from within your collections of research (e.g. Ask your “Startup Growth Loops” topic to suggest changes that will help you grow it and increase engagement) - Eliminate writer’s block with original first drafts of content drawn automatically from your conversations and research, emailed to you weekly - Capture meaningful moments from your calls with summarized key points, next steps, and follow-up questions pulled out of your Zoom calls. My co-founder Sam and I will be answering your questions for the next 24 hours. Ask us about Heyday, our process for gathering feedback, our plans for the future — anything!

@samiur1204 Thank you for hunting us, @nbashaw! And most importantly, thanks to the entire Heyday team (some of whom don't have PH accounts) for all the work and love you've poured into this - Brendan, Samiur, Nick, Gwen, Chandani, Joy, and Mark 🙌

@samdebrule @samiur1204 Congrats on the launch to the team :) I really like the first drafts feature, can definitely see it expanding to scenarios for more personas – for making memos in corporate settings for eg.