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@deyneka_e Avatar @deyneka_e Kate Deyneka

Kate Deyneka posts on X about sf, 6969, demo, build a the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.

Engagements: XXX #

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Mentions: X #

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Followers: XXXXX #

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CreatorRank: XXXXXXXXX #

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Social Influence #

Social category influence vc firms #263 social networks XXX% technology brands XXX%

Social topic influence sf #447, 6969 2.7%, demo 2.7%, build a 2.7%, builder 2.7%, built in 2.7%, linkedin 2.7%, savings 2.7%, mvp 2.7%, infrastructure XXX%

Top accounts mentioned or mentioned by @cursorai @openai @karpathy @parsakhaz @cerebralvalley @fashnai @potentialfung @ayaboch @ideasdirectory @ilkerigz @mlejva @apoorv_bh89 @augmentcode @kaysorin @mirandanover @weightsbiases @ibocodes @gpt5 @tbpn @enggirlfriend

Top Social Posts #

Top posts by engagements in the last XX hours

"the hottest stand at a16z Speedrun Demo Day 🔥 lets gooooooo Rork 🚀"
X Link @deyneka_e 2025-10-07T17:18Z 3177 followers, 15.1K engagements

"One year ago: I had no idea AI could build software. Today: I quit my job to do it full time. Almost exactly this time last year we sat down with Lovables founder Anton Osika in my common room to build a viral app for my IG. I was already an engineer comfortable writing code - but "vibe coding" wasnt a thing yet. I didnt know how to build an app with a prompt. Nothing really clicked. Just one year later Im so confident coding with AI that I actually left my job to do it full time. The speed of progress is wow. So much has changed in just a year"
X Link @deyneka_e 2025-10-14T20:30Z 3176 followers, 28.5K engagements

"good morning from the a16z Speedrun breakfast Ive met so many cool people amazing time to be a builder"
X Link @deyneka_e 2025-10-08T19:47Z 3180 followers, 11.8K engagements

"if you're looking for the perfect way to break into LLMs - this is it @karpathy released nanochat which is a great example of the entire LLM lifecycle: X. training the tokenizer X. pre-training on a large amount of diverse data X. finetuning on conversational data to adapt for chat use cases X. additional supervised finetuning (SFT) on higher-quality data + safety X. reinforcement learning to squeeze out a few more percentage points of performance additionally youll learn how to log everything with @weights_biases - because logging and monitoring are essential for model training"
X Link @deyneka_e 2025-10-14T00:07Z 3179 followers, 124.5K engagements

"now that everyones been kicked out of sf is it just me and the AI agents left"
X Link @deyneka_e 2025-10-16T17:33Z 3178 followers, 4922 engagements

"@potentialfung @fal @DynamicWebPaige about generative art and media"
X Link @deyneka_e 2025-10-17T04:37Z 3178 followers, XX engagements

"2. No need to raise on an idea. With todays AI tools an MVP can be built in a week. Post it on X IG LinkedIn Reddit - get traction maybe even paying users then raise. Its better to bootstrap at first especially if you have savings to cover your basics"
X Link @deyneka_e 2025-10-13T16:16Z 3168 followers, 2055 engagements

"me watching Ramp ads"
X Link @deyneka_e 2025-10-15T04:48Z 3180 followers, 45.3K engagements

"accidentally wrote a function without an agent and they kicked me out of sf"
X Link @deyneka_e 2025-10-16T05:56Z 3178 followers, 5064 engagements

"3. Skip training and fine-tuning models early on. If youre building a product (not a model) theres no need to train or fine-tune at the MVP stage. Current models are already powerful and good prompt engineering can take you far. Using APIs also saves costs on model deployment and infrastructure"
X Link @deyneka_e 2025-10-13T16:17Z 3168 followers, 2022 engagements