
Fernando Abolafio
@oxfernando
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Building the AI data analyst for GTM | Co-founder, engineering & AI
Denmark / Copenhagen
Joined September 2017
At last, @attive_ai . Over the past few months, we’ve been deep in the weeds trying to connect AI with go-to-market data. At first, it felt like forcing puzzle pieces that didn’t quite fit — each one valuable, but never forming a full picture. We set out to build an AI analyst
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RT @ericzakariasson: cursor community is unlike anything i've ever seen. just from today until mid august there are 29 meetups planned, and….
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RT @ajhofmann18: I’ve been working with AI assisted coding tools for a long time (prev @SupermavenAI before joining @cursor_ai ) and one a….
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RT @attive_ai: Un-stealthed: We expect that every piece of information on this planet is only a prompt away and gi….
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RT @prathle: Today’s @latentspacepod with @dharmesh is *of course* an awesome listen:. A thread expanding on the g….
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RT @behindtext: in 2 words:. rigged money. when credit can be created arbitrarily and subjectively, those who control the credit issuance c….
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RT @marco_peereboom: I just downloaded @decredproject @BisonWallet and was blown away how far it has come. What a marvelous piece of tech.….
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RT @klarnaseb: AI systems will soon be able to deliver the truth in seconds, and I believe this will transform the world. However, they wi….
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I just made a lazygit for google cloud buckets: lazybucket. @cursor_ai did 99% of the job here and the result is truly awesome. Try it here:
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RT @elima_iii: I don't talk about @decredproject as much as the size of my bag would make you think I would . I guess that's what a quality….
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I’ve seen some confusion about “AI Engineers” - I don’t think it’s confusing at all. TL;DR Use engineering skills to develop robust AI solutions. We are past the point where you need to be a ML magician to work with AI. Although certain ML skills are certainly helpful, such as.
Seeing more startups with these kinds of dev listings:. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀: fullstack engineers with strong product sense and product taste. 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀: ML eng or backend-focused devs. Building agents & solutions using LLMs. This from @_StacksAI
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