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

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

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)👇 thesignal.club/p/agentic-pla…

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!

🤖 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: saastr.ai/community-agents #AI #SaaS #AIAgents

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

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.

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.

“The toughest interview of their lives” Is what many call the final round interview with @anisbennaceur1, co-founder and CEO of @tryattention. In the latest focal podcast episode, he shares how he pressure-tests for founder DNA in sales hires - using tactics most startups would never dare try: • Citadel-style stress tests • No-haggle offer policies • YC-inspired scrappiness probes • 10 PM ping traps • Heavy anti-selling Because if you’re scared off by intensity, you shouldn’t work for @tryattention. Link to the episode in comments.

A few years ago, we at @EniacVC had the good fortune to lead the seed in @tryattention —and since day one, this team has been shipping like no other. Today they’re launching Super Agent, and it’s a seismic shift in what’s possible for GTM teams. 👇🏾

The cracked team at Attention is announcing something special today. Introducing Super Agent, the world’s most powerful revenue agent. It autonomously surfaces every signal in your CRM, calls, emails, Slack, and hundreds of other tools to deliver instant, actionable GTM intelligence—and executes the next steps for you. After three years building thousands of revenue-specific AI workflows, they’ve earned the expertise to ship Super Agent today. Love that they co-developed Super Agent with amazing customers like @Scale_AI, @AbridgeHQ and @BambooHR. Huge congrats to the incredible Attention team who’s been working around the clock to build the future.

Introducing @tryattention 's Super Agent, the world’s most powerful revenue agent. It autonomously surfaces every signal in your CRM, calls, emails, Slack, and hundreds of other tools to deliver instant, actionable GTM intelligence - and executes the next steps for you. After spending three years building thousands of revenue-specific AI workflows and agents, we’ve earned a unique expertise to deliver our Super Agent today. A massive thanks to our amazing customers, including Abridge, Scale AI, and Bamboo HR, who helped us build and iterate on this over the past few months - and to our incredible team who’s been working around the clock to continuously build the future.

Well, yesterday, @anisbennaceur1 from @tryattention walked me through one of the latest AI Agent they built, called 'End of the Week Scorecard Report'. And let me tell you, it's the bomb! Honestly, I wish I had access to such a thing 5 years ago.

My take on the right playbook: 1) Businesses layoff 25-40% bottom performers. 3% doesn’t move the needle. 2) create a healthy foundation of strong unit economics per FTE. 3) inevitably scale back up your business with strong talent (due to increasingly competitive nature of markets).

Eniac's Fall Newsletter is out 🍂🎃 Featuring new financings from @ghst_io @TheLevelAI Nirvana @KindoAI @tryattention Edera Reframe @oboelabs @evertune_ai Check it out @ mailchi.mp/eniac.vc/eniac-ve…

People ask how to invest in the fastest-growing startups in NYC. The answer? Back companies that start with "Attenti." Attentive was the fastest-growing company for years and is now a monster, and Attention 10xed its ARR last year and just announced their Series A. Easy peasy!

Move over Gong! Congrats to fast growing, NYC based, @EniacVC seeded @tryattention on their $14M Series A 🚀 Been inspiring to watch @anisbennaceur1 and @mwickenburg1 alongside my partner @Hadley iterate through PMF and blast off TY @stokessamanthaj for the scoop!

The future of SaaS is « Tell people what they want ». With AI, everyone can craft their own made-to-measure software, but you still need someone to take your measurements. AI-native data collection and usage. cc @tryattention for Sales @maki_people for HR

one of the habits that transformed my ability to run founder-led sales (and now delegate as the team scales) is having a review process for sales motion. at unify, we use @tryattention to record and analyze our calls in less time. attention uses ai to automate the analysis that a sales manager would, saving skyler and i tens of hours per week. highly recommend using in your tech stack (shoutout to @anisbennaceur1 and @mwickenburg1). 1) nail the talk:listen ratio on your discovery calls. on a discovery call, you can get a pretty good sense of how it went through talk-to-listen ratio. quick tip: talk less. my rule of thumb is to talk a maximum of 40% of the time. the more information you can harvest on a disco call, better you understand your customer and how to provide them value. 2) know your customer's compelling events. we've found that our deals move fastest when there's a clear compelling event—whether it's a new website launch or a big outbound okr that they're not sure how they're going to hit. we lean into compelling events as the reason why someone should move to unify today vs. in the future. attention automatically extracts the compelling events from a transcript for us 🙂 3) keep track of the prospects existing tech stack. we used to find it difficult to pull our customer's tech stacks out of calls. the idea is simple, but in practice it often is a lower priority to do consistently. we also want to be collecting the type of tech stack that they're using so we can actually make an informed judgment call on how to pitch our value to them. for example: if a prospect uses @salesforce, @G2dotcom and @clearbit, we (at unify) should understand that and use that in the pitch. we have to help the prospect understand how we can help them get more value out of these data sources. the more tailored we can make the pitch, the more value our customer sees. tldr: 1) talk less. listen more. 2) know your customers compelling events 3) personalize the pitch with the customer's tech stack. any best practices that you'd recommend?