Resat Ugur Ulu

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Resat Ugur Ulu

Resat Ugur Ulu

@resatu

Building @graphyn_

انضم Eylül 2009
5.3K يتبع1.9K المتابعون
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
Stay small enough long enough, you’ll be big enough soon enough.
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
What are you building today?
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
Istanbul Builders made it onto the Luma featured list for the third time in a row! Enormous interest is piling up. This is no joke. June 26 at @komunitespace. 🧱 Save the date.
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Graphyn
Graphyn@graphyn_·
Most devtools must update configs to list Mythos. Graphyn doesn't, as it's fully local agent infrastructure and fetches available models via existing CLI tools on update.
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
I don't think Eren is not aware of this. I think he is on to something else.
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
@jayair @adamdotdev I use it on @graphyn_ quite often It's a great source of recent model-related events and offers my agents a fresh perspective on yesterday's developments.
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Jay
Jay@jayair·
There's a new version of the Models .dev website It shows the most recently updated models first, it's broken down by the labs that made these models, and their providers Shoutout to @adamdotdev for updating this
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
@gdb An idea to pump the rev and have a good graph for investors: a plan to use $500 to 100x Codex limits instead of 20x Codex Pro.
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
@orhundev @ratatui_rs I mean, I understand you love Rust, but again, would you genuinely recommend devs choose this one over a well-recognized web framework? Besides the performance.
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
Imagining your life as a movie is a great exercise in creative thinking. Think about how you'd craft your storyline to keep the audience engaged, building anticipation and then surprising them with a plot twist. It's similar to product design: you conceptualise your life as a product to shape how others perceive and experience it.
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GeoPaul626
GeoPaul626@Paull626·
🇨🇳China Drones for Its People, Meanwhile 🇺🇸Anglo Drones for Killing Kids Meanwhile in the US and Anglo allies, drones are primarily developed and used for overseas surveillance and killing. China builds powerful drones to serve its own people through practical agriculture and economic needs. A clear example of China directing advanced drone capabilities toward benefiting its people and economy. #AgriculturalDrone #ChinaDroneTech #DroneForPeople #ChineseInnovation #AerialSpraying #HeavyLiftDrone #PracticalTech
GeoPaul626@Paull626

🇨🇳Nighttime Drone Delivery Ops in Shenzhen Meanwhile in the US, drones are mainly used for surveillance at home and killing kids overseas with missile strikes, while commercial delivery remains stuck in red tape and slow trials. Yellow cargo drones taking off from a rooftop platform, flying smoothly between glowing skyscrapers at night. Operators prep the next batch as the city lights shine. China is already running drone logistics at real scale. #DroneDelivery #Shenzhen #ChinaTech #DroneLogistics #FutureIsNow

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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
Looking back, the program isn't very effective; it requires more momentum & builder energy to succeed. I hope they team up with parties like @komunitecomtr or @e2mindset to build this momentum, rather than relying mostly on the universities. Not a practical way at all.
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
YC offers $125K for 7% of a post-money SAFE, implying a $1.786M cap + promise to invest another $375K with an uncapped MFN. In Turkey, the government provides EVERY tech startup with $30K at a $1M valuation; offers mentoring, office plus a $50k line of credit - 0% interest
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Resat Ugur Ulu
Resat Ugur Ulu@resatu·
Unpopular opinion: New starting tech startups in Turkey have significant opportunities compared to those of top global funds.
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Sridhar A
Sridhar A@sridharfyi·
@watolabs so glad to see the shift toward ai efficiency. raw token spend means nothing without true business outcomes.
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Wato
Wato@watolabs·
I think we’ve all started to realize that AI spend is not the same thing as productivity. The first wave of AI adoption was about giving teams access to better models, more tools, and more tokens. The next wave is going to be about efficiency: understanding which AI work is actually creating business value, and which work is just adding cost. How can businesses be best suited for this transition? Wrote more here: blog.watolabs.com/ai-outcomes-ve…
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