Attention

Reach your full revenue potential.

[Anis Bennaceur @anisbennaceur1]

I would’ve agreed with you 6 months ago. But the most of the tools have been doing incomplete work for sellers.
One of our customers has effectively tripled monthly revenue per AE in 6 months (on a cohort of 70 sellers) after starting with us, and there are ways to make this happen.
To quote another great founder, it’s not that it doesn’t work, it’s that most people haven’t found a way to make it work

[Attention @tryattention]

Attention is now part of the Claude Startups program! Check us out

[Claude @claudeai]

The Claude Startups program is expanding to more founders.

Members can get a year of Claude Team, API credits, special offers on the tools a startup runs on, and office hours with Anthropic’s Applied AI team.

[Attention @tryattention]

Unlock your full revenue potential ⚡️

[Jason Lalk @jlalk]

You know when you have a product that just freaking works?

@tryattention is one of those for us.

It's been awesome from the jump. We use it for scoring interviews (candidates and our managers), sharing interview recordings with clients, and a million other things.

Not sponsored at all. Just been a day 1 user.

Also a big fan of the team and culture that they're building.

[Attention @tryattention]

@atishayhyperke Definitely pay https://t.co/N6cDUxr6dX 😌

[Jordan Meyer @jordanalexmeyer]

Introducing the @tryattention app for iPhone: a Spotify-style app I built for listening to our Attention call recordings.

It has:
- Live transcript that follows the audio - tap any line to jump there
- Speaker-colored scrubber + skip to next speaker
- Skip Silence mode, 2.5x speed
- Works with locked screen, AirPods controls, AirPlay
Search with filters (participants, date, calls I own)
- Queue + offline downloads
- Select transcript lines → shareable snippets, or ask AI questions about any call

TestFlight incoming

[Hadley Harris @Hadley]

These guys have been badly out-executing the rest of the category since we led their seed round. No wonder Ramp's data ranks them the fastest-growing AI GTM product, and they just announced their Series B. Super excited to keep backing them!

[Anis Bennaceur @anisbennaceur1]

Today we're thrilled to announce Attention's $30M Series B, led by RTP Global with participation from Aglae, Alven, Eniac Ventures, and Linea.

We started Attention with the goal of automating work out of your sales conversations, and analyzing calls to fill the CRM was only the beginning.

Insights-only tools aren't enough - AI shouldn't just watch the call, it needs to take action. By not only automating admin work, but also running the next play, we give revenue teams a closed-loop system that gets smarter every time.

This funding takes us to the next step: an autonomous action engine that surfaces and executes your rep's highest-impact next moves. We've 4x'd our ARR over 12 months, grown our ACV 10x, and now run over 20 million agent actions a month for 500+ customers, including incredible companies like BambooHR, Lovable, Scale AI, Abridge, and Elise AI.

A special thanks to all of our customers (including the founders and operators who angel invested in this round!) for your continued trust, our team for your hard work, and our existing and new investors for all your help.

So much more to come! ⚡️

[Anis Bennaceur @anisbennaceur1]

Engineers open-source everything. But nobody does in GTM.

So I'm open-sourcing 3+ years of how we run go-to-market: qualification logic, scorecards, and post-call automation.

Meet GTM Superintelligence 🧠👇

Point it at any call, deal, or account and it:
→ Scores against your methodology (MEDDPICC, Sandler, etc.) tied to real quotes
→ Auto-updates your CRM so reps stop doing data entry at 6pm
→ Runs 30 post-call agents across RevOps, enablement, AM, marketing & product
→ Includes my humanizer to de-AI the writing (used it on this post 😉)

Works with any recorder and any CRM.

What we've built at Attention obviously goes way deeper, but if you're on a legacy recorder, this alone moves you up a level.

You can grab it here: https://t.co/iphGjucrri

[Attention @tryattention]

@anisbennaceur1 🚀🚀

[Anis Bennaceur @anisbennaceur1]

@tryattention is quietly crushing it amongst generational scaling leaders like Anthropic, Profound, and Snowflake.
ps. Best gift to my mom for Mother’s Day 🙃

[Attention @tryattention]

Excited to be a scaling leader! Thanks for the report @tryramp ❤️

[Deedy @deedydas]

This graph of the top 69 software products by growth vs adoption is the best snapshot of the current winners and losers in tech.

— Scaling leaders (Anthropic)
— Incumbents at Risk (OpenAI)
— Rising Challengers (Granola)
— Long tail (11x)

Spend data from Ramp, up to Mar 2026.

[brendan short @brendanjshort]

I was talking to a CRO at a fast-growing Series A startup recently, and we were both shocked by how badly people misunderstand what you can do with client interaction data.

Most teams treat their conversation intelligence platform like YouTube:

a library of recordings you go back and watch when you need to find information or build a new onboarding program. Maybe you pull up a call before a QBR. Maybe a manager listens to a few calls a week for coaching. But the platform mostly just... sits there.

Your call recordings aren’t a content library. They’re some of your most actionable first-party data. Every call contains buyer language, objections, competitor mentions, champion signals, pricing reactions, feature requests, and expansion cues. The best sales orgs are building hundreds of agents and workflows triggered by stuff that gets mentioned on their calls.

Most people know they should be doing more with AI and their customer interactions. But they aren’t.

They’re still just doing basic summaries, recap email drafting, and some manual coaching.

There’s a real opportunity to use platforms, like Attention, to move from passive call recorders to proactive AI agents that turn every conversation into action.

Last year, I wrote:

"Most people building go-to-market tooling are obsessing over third-party data. But, there is a goldmine of information in every company’s systems already: customer conversations, emails, and meeting transcripts.

The problem is - this data sits dormant (becoming less useful over time as it collects dust in the corners of the CRM or CDW or otherwise), and it is distributed across disparate systems and “objects.” Attention is activating this data. Mining for the interesting nuggets and then operationalizing them, in real-time. That’s the vision they’re realizing, by building a system of AI agents that don’t just capture sales conversations, they automate the work traditionally done by the best enablement analysts, RevOps specialists, and top performers."

That was 12 months ago. It’s even more true today.

AI is only half the unlock.
The other half is knowing which plays to run.

I collaborated with @tryattention's team to go deep on 15 agentic plays that the best RevOps teams are running on client interaction data right now

(+35 quick, bonus plays).

These can be done with Attention out of the box.
But, even if you aren’t using them, you can set up these plays.

All of them are powered by the same raw material: the client interactions you already have captured.

If you're trying to make your GTM engine more AI-native, start here (steal them, and make them your own)👇

https://t.co/XcSdVaTBO7

[Attention @tryattention]

@Hadley Thank you for sharing this!

[Hadley Harris @Hadley]

Proud of the team at @tryattention — #1 in adoption AND #1 in growth in AI-First GTM per the latest Ramp data. When both are true, you're not catching a wave, you're the wave!

[Attention @tryattention]

@alvinalaphat @jasonlk @GetArtisanAI @alloyapp @salesforce @GammaApp @dealmomentum @reve @tryqualified @higgsfield_ai @withdelphi ⚡️❤️

[Jason ✨👾SaaStr.Ai✨ Lemkin @jasonlk]

🤖 Top 10 AI Agents on SaaStr

1. @GetArtisanAI (AI SDR)
2. @alloyapp
3. @salesforce Agentforce (AI SDR)
4. @GammaApp (Sales Decks)
5. @dealmomentum
6. @reve
7. @tryqualified (AI BDR)
8. @tryattention
9. @higgsfield_ai
10. @withdelphi (Digital Jason)

Discover more: https://t.co/yGNxAsrzdt

#AI #SaaS #AIAgents

[Anis Bennaceur @anisbennaceur1]

Had an interesting learning from my past startup: I could either buy https://t.co/Z2cE4NjNYl for $12k or https://t.co/aOIelGDeZG for $60k. We went with the cheaper option, which I regretted - Microsoft ended up creating a live streaming platform and bought https://t.co/aOIelGDeZG which killed us from an SEO perspective.
For my current startup I bought https://t.co/I2EY15nUwR as soon as I could and it was a great decision.

[Anis Bennaceur @anisbennaceur1]

Introducing The Helper by @tryattention: Your command center for revenue orchestration, right inside Slack.

It accesses every touchpoint across your CRM, calls, emails, and Slack, and turns them into instant, actionable GTM intelligence.

Ask a question, get the insight, without switching tabs or screens.

After years of building thousands of revenue-specific workflows and AI agents, we’ve learned what GTM teams actually need from AI.

The Helper is our answer.

[Pascal Unger @PascalUnger]

Many like the idea of working at early startups.

Everyone claims startup grit - most implode by month three.

To surface the truth during an interview, you have to stress-test whether someone’s actually a fit for early stage startup life.

Here are 5 non-obvious stress-test tactics from @anisbennaceur1, Co-Founder and CEO of @tryattention during their sales hiring process:

1. YC “hack-the-system” probe: Entrepreneurial candidates make for the best hires early on. YC’s famous question “Tell me about a time you hacked the system to your advantage.” is an excellent way to surface the scrappy creativity early‑stage startups live on. Watch for sparkling eyes and rapid‑fire examples. @anisbennaceur1 counts how many emerge unprompted.

2. 10 PM ping test: Speed and urgency is everything in startups. During the vetting process for growth hires, @anisbennaceur1 pinged both finalists at 10 pm on a Wednesday with an urgent ask (he does this regularly during interview processes). One left a concert to send thoughts back within 5 minutes. The other replied with a polished answer the next morning. Needless to say who got the job.

3. No-haggle offers: When @tryattention issues an offer, the number never moves. Candidates who press for an extra five grand walk, and that’s exactly the point. Startups win on slope, not base salary deltas. The rep who joins for upside out‑sells the rep who joins for guarantees. Haggling seeds cultural debt - if comp is elastic, so are deadlines and quality bars.

4. Never hire just one first AE: Hiring one AE is like flying blind on a moonless night. You can’t tell if the instrument is broken or the pilot is. Solo sellers blame pricing, leads, calendar, and you have no data to contradict them. Add a second AE and every excuse hits a brick wall of real‑time comparison. If both fail, you have a bigger problem.

5. Post mortem: After each hire - especially flops - @anisbennaceur1 runs call transcripts through o3 for a post‑mortem, asking the model to surface weak questions, subtle red flags, and sharper probes (while being extra harsh and critical). Those AI insights feed straight back into the script for the hiring engine to keep improving.