Viviana Faga’s Post

Excited to be continuing the journey with Armada to bring edge computing to critical industries! 💪 Dan Wright Jon Runyan Welcome to the team @M12vc ! Felicis

I often see founders wait way too long to start selling. Founders, sell your product WHILE you build it, especially early. If you build by yourself for months on end, you might end up with a product very few want. What selling while building forces you to do: - Develop a quick pitch - Talk to customers - Validate your idea  - Refine your MVP - Test out messaging and pricing It’s important to do this because everything will change…your pricing, your ideal customer, your product. Develop a range of ideal customers. Then get as many design partners as possible across those ranges. (remember, your ICP WILL change). Build something people want, get it good enough, and then sell it sooner than you think. The lessons you gain by doing this will be invaluable. Founders, what’s something you’ve learned by selling while building? #founder #startup #selling Felicis

Founders, it’s ok to roll your eyes when a VC asks “what’s your technical moat?” My take: technical moats no longer exist in software. It used to be that you could launch a product with a technically capable team and enjoy a two to three-year advantage. But now… there are better engineers than ever before, more platforms that can even the playing field, and AI that is helping everyone build quality software, fast. A differentiated product and 10x team matters, but your competitor might have these as well. The moats that make a difference now: • Your shipping velocity • Your network effects • Your GTM motion • Your community • Your brand • Your story • Your data • Your ROI • Your customer love • Your positioning. How are you different? What other moats have you seen in this era of more technical parity? #founders #venturecapital #categorycreation Felicis

The core of any AI product includes talent, compute, and crucially, data. But it’s not just about having data—it's about having the right data. I’m excited to announce Felicis is leading the latest round in DatologyAI. Datology is providing state-of-the-art automated data curation, which is quickly becoming an important need for any company building AI products. They focus on the quality of data, optimizing model performance not by increasing data quantity, but by enhancing its relevance and efficiency. This method doesn’t just promise better models; it changes the economics of AI training, reducing costs and increasing scalability. We were blown away by the exceptional backgrounds of Ari Morcos, Bogdan Gaza, and Matthew Leavitt. From Ari’s award-winning research in data pruning and his experience as a Senior Staff Research Scientist on Meta’s AI team to Bogdan’s expertise in building infrastructure at Twitter, and Matthew’s innovative work on data research at MosaicML. We are so excited to work with the team as they revolutionize AI data and infrastructure. Read our post to learn more about the space, and why DatologyAI is uniquely positioned to succeed. https://lnkd.in/gv5fvBvh #AI #data cc: Tobi Coker Astasia Myers

Incredible tool to help "benchmark your org" for founders. The people whisperer, Michelle Delcambre shares her tool to help you plan your team's growth. Michelle Delcambre Felicis