Katalyst is the AI sales agent for teams on Salesforce. Hang up a call and it's already done: notes summarized, records created, fields updated, follow-up drafted, next step set. It runs 24/7, reading every call, email, and calendar, surfacing the right signals, prepping you for each meeting, and prompting you to act: follow up here, this one’s slipping. What's new: AI Resolution on every account, meeting recorder, hygiene scores, deal patterns. Built for enterprise sales teams.
At Datadog, I watched our best enterprise reps closing multi-million-dollar deals - lose hours every week to work that had nothing to do with selling. Updating Salesforce, prepping for QBRs, rebuilding context that already lived in an email or a call recording. The people best at selling were spending the most time not selling. I couldn't unsee it.
So we've spent the last year building Katalyst to fix it: working hands-on with sales leaders and reps across teams like Stripe, Atlassian, Justworks, Datadog.
Katalyst is an AI sales agent for teams on Salesforce. It runs 24/7, reads your calls, emails, and calendar, and turns it into action: - Salesforce records created and fields updated on its own - The right signals surfaced (across 10k, hiring, contact tracking, partnerships) - Account plans created, contacts researched - A brief ready before & after every meeting - The follow-up drafted and the next step set ✨ We've built Katalyst to work with your existing Salesforce set-up!
What’s new: - AI Resolution on every account: like claude cowork, take deep actions on every deal with the Katalyst Agent - Pipeline with Kanban view, group by and custom views - Katalyst meeting recorder - joins meetings across Meet, Zoom, Teams, Webex - Slack bot - push updates, signals, actions to take - Actions overview - Review and take pending actions, plus bulk actions
And it's already working. Mike, Sales Director at Aniai, has his reps taking 20% more meetings a day, walking in fully prepped, and moving deals to contract 50% faster - all while Salesforce stays clean on its own. @mike_conway - "If you're not using Katalyst, you are missing out on opportunities your competitors will find."
We just opened Katalyst to the public. If your team runs on Salesforce, you can sign up or book a demo. Would love your honest feedback. 👇
P.S - A huge shoutout to the tens of beta customers without whose love and feedback we wouldn't be here. Also to the elite Katalyst engineering and product team!
Does Katalyst notice behavior patterns too? Like a rep consistently forgetting to follow up with procurement or not engaging technical buyers early enough?
That queue-with-the-error behavior is the right call, way better than a false green check. The thing I'd poke at: a bounced suggestion can sit in the queue while the underlying opportunity keeps moving, another call gets logged, someone edits the stage. So when the rep finally fixes the value and accepts, are you re-deriving the suggestion against current Salesforce state at accept-time, or writing the value as computed when the suggestion was first made? We got burned by the second version once, wrote a technically-valid but stale field.
Have you started seeing patterns across won deals? Like teams that engaged Finance before Legal closed faster kind of insights?
I believe that Katalyst has a lot of products at once (reads your calls, emails, and calendar, and turns it into action) I was wondering if it makes the onboarding difficult. Which workflow do you recommend customers to try first?
As someone working in a Communications and Strategy space, does Katalyst account for constant changes and updates to a singular project or task? How does it take into consideration for the different asks from stakeholders at various points in time?
I've set up and managed a few Salesforce instances over the years, and they're rarely clean 😅. Between custom objects, validation rules, custom fields, page layouts, and all the org-specific logic, introducing a new tool can be a little nerve-racking.
How does onboarding usually work with Katalyst in a more customized Salesforce environment? And for the reps, what's the learning curve like? In my experience, even great tools struggle if AEs have to change how they work too much.
One other thing I'm curious about: can teams add their own AI-enriched fields or custom columns (like account insights, deal risk, buying signals, etc.), or if everything fixed and connected only with salesforce instances?
The auto-drafted follow-up sounds useful but here’s my concern with every AI email sounding like AI, can reps actually tweak it or do they have to copy-paste into Gmail and rewrite from scratch?
Does each customer end up with their own sales memory? I'm wondering whether the AI gradually learns how our company sells?
The product feels like a lot of connected features. What's the typical journey? Where do customers usually start, and what do they naturally discover next?
What has been the hardest engineering challenge you've solved while building Katalyst?
Deals evolve over months. Does the AI understand that a champion from March might not matter anymore in July, or is every interaction treated independently?
Congrats on Shipping! Looks like a promising product here! In my experieence is the graveyard of CRM tools is full of products that made data entry slightly less painful and called it a solution. How's the auto-capturing of data working in Katalyst? The problem usually isn't the UI it's that data is scattered, async and AEs don't really log the things. Running a SaaS with a mix of inbound and long-cycle partnership deals, so the fragmented relationship problem is constant for me. How's Katalyst solving for this?
Who gets the most value from Katalyst today? AEs, Sales Managers, RevOps, or someone else?
How accurate is the AI? I feel like every AI tool I've tried hallucinates or gets things wrong. What's different here?
How hard is this to set up? I know enterprise software can take forever to implement.
The "Do This Now" section is probably my favorite part. How does Katalyst decide what deserves my attention first?
What's your retrieval architecture? Are you using vector search, structured CRM data, or both?
About Katalyst on Product Hunt
“The AI agent that works your Salesforce Pipeline”
Katalyst launched on Product Hunt on July 7th, 2026 and earned 430 upvotes and 358 comments, earning #2 Product of the Day. Katalyst is the AI sales agent for teams on Salesforce. Hang up a call and it's already done: notes summarized, records created, fields updated, follow-up drafted, next step set. It runs 24/7, reading every call, email, and calendar, surfacing the right signals, prepping you for each meeting, and prompting you to act: follow up here, this one’s slipping. What's new: AI Resolution on every account, meeting recorder, hygiene scores, deal patterns. Built for enterprise sales teams.
Katalyst was featured in Sales (21.9k followers), Artificial Intelligence (473.7k followers) and CRM (2k followers) on Product Hunt. Together, these topics include over 119.3k products, making this a competitive space to launch in.
Who hunted Katalyst ?
Katalyst was hunted by Germán Merlo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Katalyst stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Germán Merlo
Hi, I'm Div, Founder & CEO of Katalyst.
At Datadog, I watched our best enterprise reps closing multi-million-dollar deals - lose hours every week to work that had nothing to do with selling. Updating Salesforce, prepping for QBRs, rebuilding context that already lived in an email or a call recording. The people best at selling were spending the most time not selling.
I couldn't unsee it.
So we've spent the last year building Katalyst to fix it: working hands-on with sales leaders and reps across teams like Stripe, Atlassian, Justworks, Datadog.
Katalyst is an AI sales agent for teams on Salesforce. It runs 24/7, reads your calls, emails, and calendar, and turns it into action:
- Salesforce records created and fields updated on its own
- The right signals surfaced (across 10k, hiring, contact tracking, partnerships)
- Account plans created, contacts researched
- A brief ready before & after every meeting
- The follow-up drafted and the next step set
✨ We've built Katalyst to work with your existing Salesforce set-up!
What’s new:
- AI Resolution on every account: like claude cowork, take deep actions on every deal with the Katalyst Agent
- Pipeline with Kanban view, group by and custom views
- Katalyst meeting recorder - joins meetings across Meet, Zoom, Teams, Webex
- Slack bot - push updates, signals, actions to take
- Actions overview - Review and take pending actions, plus bulk actions
And it's already working. Mike, Sales Director at Aniai, has his reps taking 20% more meetings a day, walking in fully prepped, and moving deals to contract 50% faster - all while Salesforce stays clean on its own.
@mike_conway - "If you're not using Katalyst, you are missing out on opportunities your competitors will find."
We just opened Katalyst to the public. If your team runs on Salesforce, you can sign up or book a demo. Would love your honest feedback. 👇
P.S - A huge shoutout to the tens of beta customers without whose love and feedback we wouldn't be here. Also to the elite Katalyst engineering and product team!