Romain Hevin

lemlist’s sales team closed $5,000,000 in new ARR in 2025. Here’s how their sales team made it happen … and scaled to 15 AEs & 4 CSMs under Yann Guilleux's leadership: 1️⃣ Pipeline generation lemlist has both a strong inbound & outbound motion. A. INBOUND FUNNEL When it comes to inbound, they leverage: - Multi-lingual SEO (partly responsible for 200K monthly site visits) - Partnerships / Affiliates ( = 15% of their acquisition) - YouTube (400+ videos amounting to > 1M views) - LinkedIn (300,000+ followers across their team) - Paid Ads (they spend around ~20K€/mo) This generates lots of leads (~20K monthly signups), hence it’s critical to properly set up their inbound funnel, so that prospects get the opportunity to speak to the right person ASAP. They assign prospects to their sales team based on: - prospect language - location (timezone) - deal size → They use their own calendar scheduling application, lemcal, to allow prospects to book a call through a custom landing page. → Default then qualifies the prospect and assigns them to the right rep. → lemlist sends a confirmation email. → The deal gets automatically created inside of HubSpot. B. OUTBOUND FUNNEL They eat their own food and have a strong outbound motion on top of their inbound one. In summary, it looks like this: 1. They source high-fit companies (Tier 1) leads via Sales Navigator (taken care of by their GTM engineer). 2. They extract the 3 most relevant contacts from each company via LoneScale (this is automated!) 3. They use Sales Nav, again, to find potential extra relevant personas, then → add leads to Hubspot → and enrich them through lemlist. Then, for outreach: 4. Inside of Hubspot, the sales team enrols contracts directly into lemlist campaigns. 5. They also cold call, via lemlist's VOiP. 2️⃣ Opportunity Management Every sales call is recorded with Claap. It allows their team to: - review calls (for deal strategy or coaching purposes) - log meetings to Hubspot - fill relevant CRM fields (i.e: competition, renewal dates, tech stack) which add an extra layer of insights to their ICP. They used the SPICED methodology and custom built a GPT to: - grade discovery calls - generate follow-up emails - + generate an executive summary For bigger deals, with multiple stakeholders, they use Katalyz as a digital sales room. It helps align everyone on a mutual action plan. 3️⃣ Closing They draft quotes using Hyperline, which: 1. Includes an e-sign process 2. Automatically manages provisioning (i.e, gives software access to the client with the right amount of search) via their Stripe integration. Once all the above is done... they ‘manually’ pass down won accounts to their CSM team. What would you advise them to do to hit $10M+ ARR in new ARR in 2025? P.S: Yann Guilleux was kind enough to share their entire sales process. It's not every day you gain a glimpse of a > $33M ARR SaaS revenue engine. Make sure to follow him!

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French SaaS platform Qovery, which automates DevOps and simplifies application deployment across any cloud, has raised €11.3 million in a Series A round to expand regionally, scale its team and advance AI-driven product innovation. The round was led by IRIS and included Speedinvest, Crane Venture Partners, Techstars, Irregular Expressions, and notable angel investors such as Datadog Co-founders Olivier Pomel and Alexis L., Docker Co-founder Sebastian Pahl, and Checkout.com CTO Ott Kaukver (former Twilio CTO), who also joins the board. All previous Seed investors participated in the Series A. Romaric Philogène | Pierre Mavro | Morgan Perry 🔗 Read full article link in comment #Qovery #SaaS #DevOps #CloudDeployment #MultiCloud #AIInnovation #StartupFunding #TechGrowth #EngineeringProductivity #SeriesAFunding #eustartups #news

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🇪🇺 2 new Large-Scale Pilots are starting this fall: APTITUDE for citizens on the move, WE BUILD Consortium for business trust. 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 • 𝗔𝗣𝗧𝗜𝗧𝗨𝗗𝗘 = 𝗖𝗶𝘁𝗶𝘇𝗲𝗻 & 𝗧𝗿𝗮𝘃𝗲𝗹: Coordinated by France, 110+ partners across 11 countries. Tests Digital Travel Credentials (DTC), a secure, app-based travel document, plus hotel check-ins and wallet payments. • 𝗪𝗘 𝗕𝗨𝗜𝗟𝗗 = 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲: Led by the Netherlands & Sweden, ~200 organisations in 27 countries. Focus on Organizational Identity, Know Your Business (KYB), and digital Power of Attorney. • 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Final 24-month phase → 2026 wallets → 2027 obligations. Longer-term target: 80% citizen adoption by 2030. Which path do you expect to scale faster first: citizen mobility or B2B identity? 👇 #EUDIWallet #eIDAS2 #DigitalTravelCredentials #OrganizationalIdentity

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Today we reached a massive milestone at Zama : bootstrapping in less than 1 milliseconds. Bootstrapping in FHE allows “cleaning” the noise in encrypted data, and is responsible for the vast majority of the computation time. Thus, the faster bootstrapping gets, the more confidential transactions per second the Zama Protocol can process. We achieved this after years of research on efficiently using GPUs for FHE. The results are MINDBLOWING: Boostrapping latency: - 2021: 53 ms - today: 0.9 ms - speedup: 56x When applied to integers arithmetics, the results are even more insane: 64 bit encrypted addition latency: - 2022: 2,000 ms - today: 8.7 ms - speedup: 230x 64 bit encrypted multiplication latency: - 2022: 13,000 ms - today: 32 ms - speedup: 400x To understand what this means in practice, lets look at confidential stablecoin transfers: - 2022: 0.1 tps - today: 230 tps - speedup: 2,300x And it’s so cheap also: about $0.0001 / transaction for a confidential stablecoin. Tldr; FHE is now FASTER than Ethereum and most L2s! And it’s only a matter of months before we can reach 1000 tps. Next steps: build an FHE ASIC to reach 100k tps by 2029. Enough to cover Visa, Mastercard and SWIFT volume combined. 🚀🚀🚀 Full post in the comments

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AI startups accounted for 62.7% of all U.S. venture capital funding in Q3 2025, according to Pitchbook. Over $192 billion has flowed into AI ventures this year — the first time AI has secured a majority share of global VC investment. The quarter was marked by mega-rounds, including Anthropic’s $13B Series F and xAI’s multibillion-dollar raise. Top deals include FieldAI ($405M), Cognition AI ($400M), Sierra Technologies ($350M), EliseAI ($250M), and Distyl AI ($175M), underscoring AI’s rapid evolution across robotics, automation, and enterprise software. Companies like Decart ($100M), Clay ($100M), Rillet ($70M), Exa ($85M), and Motion ($60M) also secured substantial rounds, driving innovation in video generation, workflow automation, ERP systems, and AI search. These startups, backed by major investors such as Sequoia Capital, Andreessen Horowitz, Benchmark ,Capital GG, Greenoaks, andNVIDIA, are advancing AI from research to real-world infrastructure. Collectively, they represent a maturing ecosystem focused on scalable, production-ready applications spanning sectors like finance, healthcare, sales, robotics, and enterprise automation. Dean Leitersdorf Moshe Shalev Nicolas Kopp Stelios Modes Kareem Amin Nicolae Rusan Ali Agha Minna Song Stoyan (Tony) Stoyanov Will Bryk Jeffrey Wang Benjamin Willox Bret Taylor Clay Bavor Scott Wu Walden Yan Steven Hao Harry Qi Omid Rooholfada Ethan Yu Arjun Prakash Derek Ho

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