Real-time startup data for GTM and investment sourcing

NYC
Introducing Fundable – a startup intelligence platform. Lovable for this, Cursor for that. Every week, 100s of new AI startups raise - you can't keep up. Fundable cuts through the noise - providing real-time funding signals from 10k+ sources. try it (for free) - link in bio
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Everyone sees the megarounds. These 10 companies raised under $5M this week. @charter_space_ - space insurance ($5M) @walapay_io - global payment rails ($4.6M) @PhotonHQ - agents in iMessage ($4.5M) @tangentrobotics - robot hands ($4.5M) @quotr_ai - construction bid estimates ($4M) @augmetaai - AI KPI operators ($3M) @getdodgeai - ERP maintenance ($2.65M) @pluto_aero - hypersonic test rockets ($2.5M) @1club_ai - gym management software ($2.5M) @tryp_com - multimodal trip booking ($2.2M) A thread...
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@1club_ai ($2.5M seed, co-led by @LAUNCHub and BrightCap Ventures): Most gym and sports-club software stays small and local. 1club is AI-native club management with a consumer booking layer on the way, already paid for in 10+ countries across 10+ sports, and the Sofia team is expanding into the US, UK and Canada. Co-founders Miro Miroslavov (CEO), who founded OfficeRnD, and Martin Kirov (CCO).
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@tryp_com ($2.2M seed, led by Point Capital Partners, with Iberis Capital and travel-industry angels): Multi-stop budget trips are the kind a normal search box can't handle. Tryp builds and books whole trips across 80M+ flight, train, bus and ferry fares in one booking, with 10M+ users and half of bookings coming from its "For you" feed. It also powers Wizz Air's WIZZ Holidays. Co-founder @AndreRangel96 (CEO).
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Can now access Fundable's APIs on @dlgtio! Team is taking a very cool approach to evaluating data provider performance based on the task assigned. One GTM workflow I'd try out with Delegate: find startups who raised this week (fundable), what roles they are hiring (Apify), and see what the founder has been posting on X (tikhub). Then draft personalized outbound focused on that startups current priorities with an LLM. Can do this all with a single Delegate API key.
"Find Series A fintechs in London that raised this month, and who led the rounds." Your agent couldn't answer that yesterday. Now it can, with real-time venture data: 100k+ funded startups, fresh rounds within hours of announcement, investor portfolios, founders and angels. No subscription. Pay per request, only for what you get back. Just ask.
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General Intuition (@gen_intuition) raised $220M at a $6.2B valuation, its third round in under a year and $673.7M in total. Valor Equity Partners, Atreides, 776, @p72vc, @khoslaventures and @generalcatalyst all put in, with no lead on record. Machines trained on text can describe a room without ever having moved through one. Video games are the opposite, a continuous record of intent, action and consequence. General Intuition trains world models on hundreds of millions of hours of gameplay uploaded to Medal, the clip platform it spun out of, where the valuable part is not the footage but the action labels: which button a player pressed, and when. Its newest model, MIRA, runs at 20 frames a second on a single B200 and does not diverge however long it is left running. Founded by Pim de Witte (@pimdewitte), who built Medal, with @EloiAlonso1, @AdamJelley2 and @micheli_vincent, the three authors of the DIAMOND diffusion world model.
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Proximal (@ProximalHQ) came out of stealth with a $15M seed led by @generalcatalyst a $300M valuation, with @chemistry, @svangel, and @dvlamoen, and individuals including @LiamFedus, @kevinweil and @bernhardsson. Proximal builds infrastructure that lets AI improve from real-world experience. It has grown past $200M in annualized revenue in the past year helping frontier labs and enterprises improve coding agents, and is now expanding beyond software engineering. Recent progress in mathematics shows what happens when models are trained in a domain with masses of public data and easy verification, where weaknesses are cheap to find and training tasks cheap to generate. Proximal builds that feedback loop for domains without one, working toward AI that designs targeted drugs, accelerates chip design, and rewrites the legacy software still running hospitals, power grids and governments. Founded by @calvinchen with @MatternJustus, @navidkpr. The team comes from Cursor, Google DeepMind, Meta Superintelligence, Prime Intellect, Citadel and Jane Street, and more than half are former founders.
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@harvey built AI for lawyers. @RogoAI built it for finance. @OpenEvidence built it for doctors, and gave it away for free. The product answers clinical questions using medical research, with sources physicians can check. Rather than charging doctors, OpenEvidence makes money by selling ads to pharma and med device companies. Their current run: Feb 2025: Series A at a $1B valuation. Jul 2025: $210M Series B at $3.5B. Oct 2025: $200M Series C at $6B. Jan 2026: $250M Series D at $12B. Sep 2026: Reportedly raised another $250M at $15B. How they've separated themselves: 🧵
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Medical specific content. OpenEvidence has partnerships with NEJM, JAMA, and other publishers. Claude and ChatGPT can give solid answers to medical questions, but OpenEvidence's full-text licenses give doctors more of the underlying research to inspect before they rely on an answer. Free distribution. Doctors can start using it without buying a subscription or waiting for a hospital contract. OpenEvidence said it handled 8.5M clinical consultations a month by July 2025. This free distribution strategy has both driven early adoption and built the audience that advertisers are willing to pay to reach. From individual doctors to hospital systems. OpenEvidence started with physicians downloading a free tool on their own. Now Mount Sinai and Cedars-Sinai have integrated it into their clinical workflows.
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My biggest takeaway from OpenEvidence is the business model. Most AI products built for a specific profession sell subscriptions or usage credits. Daniel Nadler and @zackmziegler made the bet that adoption within the medical space would only work bottoms-up. Make it free for doctors from the start, removing the need for hospital-led approval. Now that they are four-plus years in and have earned the trust of both doctors and health systems, I wonder if they start migrating some of the business to subscription-first. Advertising helped them win distribution, but I'm less sure it offers the best experience for doctors long term. Then again, at a reported $15B valuation, they may have little reason to change the model just yet.
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Goer launched in Austin with a $2M pre-seed led by Mike Gianelli of Athlon.vc with participation from Ben Kaplan of Relatable. In a 10-country survey, 61% of people who are not gym customers named cost as the barrier, and the industry keeps answering with another subscription. Goer sells the empty spot instead: gyms and studios release the places they were never going to fill, at their own price, and people book with no membership and no contract. Listings open 48 hours out and close two hours before the session. It launches capped at 100 founding partners, with 20 local instructors holding equity. Founded by Blake Beltram (@BlakeBelt), who founded Mindbody and sold it for $1.9 billion in 2019, with Ryan Clarke, a former professional Australian rules footballer.
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10 Series A startups you should know about @HerthaMetals - magnet iron ($134M) @hifiHQ - stablecoin payment rails ($37M) @Biolevate - drug approval agents ($35M) @geterad - fast SME financing ($22M) @tr3bellar - corporate real estate AI ($18M) @Rayonapp - interior design CAD ($11.4M) @Arivihan - exam prep tutor ($10M) @AxyaPlatform - AI procurement ($8.5M) @checkmarble - fraud compliance ($7.4M) @LOMBY_Yper - delivery robots ($2.5M) A thread…
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@checkmarble ($7.4M Series A, led by @SmartFin_VC, with ADNEXUS, @passioncapital, 42CAP and @joinhexa): Fraud and anti-money-laundering work eats 10 to 15% of staff time at banks and fintechs. Marble is an open-source, no-code rules engine that lets compliance teams build and change their own checks, deployable on-prem or as SaaS. 100+ institutions in 25+ countries run 3B+ transactions a year through it. Co-founders Arnaud Schwartz (CEO) and Pascal Delange (CTO), who ran operations and tech at Shine.
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@LOMBY_Yper ($2.5M Series A, led by Mercuria Investment, with @SUZUKI_JP_PR, Canal Ventures, Tamashin-SNETI, Nabtesco Technology Ventures and @drone_fund): Japan is short of delivery drivers, and the last mile keeps getting harder to staff. LOMBY builds delivery robots for sidewalks and public roads, running in 7-Eleven's 7NOW delivery since May 2025 and built with Suzuki on its electric cart platform. The money scales production of its LM-A robot. Founder @Tomoharu_U (CEO), who previously founded Yper.
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