Big day for us! We're live on Product Hunt. 😻 ✨ We've kept under the hood, trying to build the #SaaS world's second brain in its true sense, and it's now time to meet the larger community. We'd really appreciate your love and support! Check us out: https://t.co/zCZL6IjanA

Check out the full interview here: https://t.co/kkTnvFQG52

Second-order effects of pricing: “You get hooked to Netflix when you watch a bunch of things, you get hooked to ChatGPT when you use it a bunch. By charging users for these actions, you are actually disincentivizing users from engaging with your product”

Optimizing for retention: “I care about weekly active users because if you're getting a hundred people to try your product and only five are using it a week after, that to me is a failure of either the product, the marketing, the audience that it was targeted to and beyond.”

Some snippets from the chat ↓📖 Building a mindshare moat: “I don't believe technology is a moat anymore. I think even data is not as strong of a moat as it used to be. The main moat that exists today in my opinion is mindshare and user loyalty.”

👀 Why Wispr decided to build their own LLMs 💰 Everything they considered before deciding on a flat pricing model 🧪 Their constant, internal emphasis on monetization ✌️ The mindshare-first marketing strategy they use, and a lot more

✨Latest on PMF /evals ⤵ @WisprFlow has achieved something truly remarkable: an intense market pull in a space eyed by both startups as well as giants. But how did they achieve it? To unpack this, we sat down with @tankots, their co-founder and CEO, and here is what surfaced:

Ummm

Full conversation her:

🌈 how you should build and sell AI to enterprises, 🌪️ the challenges/pushback to expect when selling to seat-based-accustomed CROs, 🌊 and a pulse-check of the moment: why 2025 is the “get ROI” stage of AI adoption and how to navigate it.

We recently hosted Alexa on Relay by Chargebee to talk about this, how they are building Pocus differently, and get our hands on the observations she has made in the process. The result? A detailed chat that goes deep into:

That’s an astute observation by @alexa_grabell, co-founder of @getpocus, who argues that most AI tools today are over-indexing on the individual user and should instead pay more attention to teams. ✨

90% of AI tools are built wrong for enterprise” ‼️ ... ignoring a big lesson that informed why Salesforce replaced individual contact lists, why Slack replaced person-to-person emails, and why Figma replaced solo design files.

— 🧱treating monetization as the “biggest lever” for growth and pursuing rapid iteration (their current model is already at v3 with two more versions being tested behind the scenes). Don’t miss out on this interview! Link below: https://t.co/cDGtDbN4kc

— 😅 what “living the innovators dilemma” feels like, — 👀 learning how the seat-based model was actually less predictable than everyone assumed, — 🙌 why and how they figured out a refreshingly simple take on usage-based pricing (where some customers stand to pay 90% less),

In Relay’s latest, @helpscout's co-founder, Nick Francis, goes deep into the hunches that initiated this change, the research that solidified it, and a unique, customer-first approach to monetization that they’ve arrived at since. Among other powerful insights, he talks about:

...if we were founding the business today?” What followed was a rare, fundamental revisiting of their 14-years-strong business model. ↓✨

♨️🚨 Help Scout risked millions in ARR. Deliberately. Because facing the grave implications (falling NRR, ceasing of the decades-long correlation between seats and growth) of the 2022 downturn and then the coming AI reset, they boldly asked: “What would we do differently...

"Of course there are various kinds of new pricing models like usage-based and outcome-based, but I believe that customers will tell us and they will be the best judge on where we go." 🎯 🔥 take from @LemhandezSimo. Echoes so much of what we heard at #Beelieve25 last week!

⃕ How the AI paradigm-shift is remaking CRMs 🧱 ⃕ Differentiating between critical and non-critical workflows when building an AI feature 🚨 ⃕ Finding the most relevant pricing model for your market, users, and product promise 🏷️ Head to the link above for the full interview!

🆕 An established category, a spirited attempt to disrupt, doubled-down with AI — the '25 chapter of @FolkHQ. We sat down with @LemhandezSimo to talk about all things AI in CRM, AI in folk, and AI in SaaS. The result is an incredible documentation on... https://t.co/C7bFEksYXn