"Can we squeeze this into the next sprint?"
If you’ve ever been cornered in an elevator for a feature request, this one is for you.
Learn how Bagel AI helps PMs say "yes" to the right things and "not now" to the noise by quantifying the business impact of every product idea.
PRODUCT MANAGERS: YOUR JOB IS TO BUILD GREAT PRODUCTS.
🥯 Meetings ≠ progress. Align without endless check-ins.
🥯 Roadmap > reactive work. Focus on impact.
🥯 Clear insights, not chaos. Spot real patterns.
🥯 Less admin, more decisions.
Reclaim your time. Build what matters.
We pitched at The Pitch by @deel.
We're going to Paris.
Building Bagel AI from the ground up, I've learned that most product & engineering teams are fast. And now even 100X faster. Building the wrong things.
The decision layer is broken. Too much noise, too little signal, and by the time anyone agrees on what to build next, the moment's passed.
That's the problem we built Bagel to solve. And apparently, the judges agreed.
Out of thousands of startups competing globally, Bagel AI won the semi-finals $50,000 prize and is now heading to the Global Finals in Paris, competing for a $1M investment alongside some of the world's best early-stage founders.
Excited. Focused. Ready.
The French have their baguette. We're bringing them Bagel.
See you in Paris. 🇫🇷🥯
@ohadbiron
2 minutes to pitch Bagel AI on Pitch by @Deel. @ohadbiron somehow made product velocity sound exciting in less time than it takes to make coffee. 37:30.
We kept hearing “why can’t we just use Claude for this?”
So our Head of Data & AI Neta Barkay dug into the research and our own data and wrote the answer.
Spoiler:
Claude writes a great summary.
Your product team still ships the wrong thing.
Read Here: https://t.co/PqD776DpTF
We just killed the Copy-Paste PM.
Starting today, you can push ideas straight from Bagel into Jira, Linear, Notion, Airtable - you name it.
Each idea lands with the number of customers behind it, ARR impact, and a direct link back to the full evidence.
One click. Full context.
This whole episode is a masterclass. Geoff's take that "your job is to automate your job" hits different when you realize most product teams are still manually stitching together customer signal from 10 different tools.
That Ramp VoC agent demo? That's the future for internal teams with engineering resources to build it from scratch.
For everyone else, that's literally what we do at @trybagel
We already pull from Gong, Salesforce, Zendesk, Jira, Slack and connect it all to revenue impact automatically. No internal build required. MCP and a lot more shipping soon.
The L0-L3 framework applies to product intelligence too. Most teams are at L0: sometimes checking a spreadsheet. We get them to L3: evidence-backed decisions on autopilot.
Then a quarterly planning meeting where everyone argued about priorities using vibes.
Now the Q3 whiteboard is empty and the marshmallows are the only thing getting shipped.
We built Bagel so this guy can go home.
Yeah, that's a product manager roasting marshmallows over a dumpster full of burning feature requests.
You're probably wondering how he got here.
It started with a spreadsheet. Then a second spreadsheet. Then a Slack channel called #feature-requests that nobody monitors.
אפשר להתלהב?
לפני חודש וחצי לקחתי על עצמי משימה, לבנות את @trybagel עם קלוד קוד.
אני עובד שם, אז אמרתי לעצמי שווה בשביל האתגר, ההבנה של המורכבות המוצרית וגם בשביל קייס סטאדי שאולי יתפוס.
בקיצור, פרסמתי, אפילו לא שאלתי מה ואיך, וקיבלתי תגובות מאנשים סופר מוכשרים ומוערכים בעולמות ה-AI והקוד ו-1k צפיות במאמר ובשבילי זה וואו, כי הימרתי על 10.
אשים לינק למי שרוצה לקרוא, תודה.
Your customers are literally telling you what's missing from your product in Slack channels you'll never scroll through again.
So we fixed that.
Bagel AI watches your Slack channels and pulls out product gaps automatically.