Markiian

Ad creatives are tough. Great visuals don't always convert. But studying what does convert and following that playbook gets your ad noticed. That's what AdDog does. Drop in your product -> get winning ad creatives.

@cobie we up?

:)

@simoncorry AI design systems are fun

@taiuti @benhylak Identified

everyone is wondering if it's the top yet, and i'm here to tell you it's not.

@DavidSHolz Supermega.design

If openai is buying TBPN... who should Midjourney buy? 🤔🤔🤔

@bentenwoodring Great work. Stunning imagery!

Most cybersecurity companies sell fear. Dark palettes, threat-driven messaging, reactive energy. Onyx wanted the opposite — optimism as a core brand position. We built a visual system that blends natural textures with 8-bit landscapes. Calm, centered, and completely different from anything else in the space. Design should build trust, not anxiety.

We just claimed our .agent domain and joined the .agent community! Get yours now and help shape the future of autonomous agents #2K0PTJD6" target="_blank" rel="nofollow noopener">agentcommunity.org/join#2K0PTJD6 @agentcommunity_

@hthieblot Copy winning ads

pitch me your company in 3 word.

@nikitabier @TimurNegru Need to upgrade electricity grid yet

@TimurNegru The river makes it perfect for a data center conversion.

Someone is selling an 18th-century French estate sitting directly on the Lot River. 27 rooms, 10 beds/8 baths, 487m² (5,200 sq ft) of living space across the main house and 3 gîtes (self-contained guesthouses). 2 swimming pools, tennis court, wine cellar and 1.18 hectares (2.9 acres) of gardens running down to the river. Live in the main house, your friends and family have their own space and nobody's in each other's way. This is Cahors Malbec country by the way, with Bordeaux 2,5 hours away (wine lovers will understand). Asking price: €1.3M ($1.4M). How much would an estate like this cost in your country?

@contextkingceo video is fire! congrats on raise

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

@_kprkr this is the way!

Building a little tool for myself. No worry about whether it'll make money. No worrying about the market. Just me, what i like, and moments i think make it feel magical. Learning to enjoy getting lost in the sauce again.

@ivanhzhao Such a cool comparison!

We look up to the artists who take joy reinventing themselves. Miles Davis, Picasso, David Bowie, Brian Eno.

@frontman_agent Would be nice

@Markiian_B sure. our thesis is that designers need their own claude code/cursor build for them

Claude Code for Product design from Anthropic team Anthropic's design team now has Figma and Claude Code open 80% of the time. Non-developers use it to implement their design vision directly—no back-and-forth with engineers. Impact: - 2-3x faster execution - Complex projects went from weeks to hours - Non-technical users went from "I need an engineer for this" to doing it themselves What they actually use it for: - Front-end polish and state management changes - Pasting mockups to generate working prototypes - Finding edge cases and error states during design, not after - Copy changes across entire codebases with legal review - Automated ticketing through GitHub Actions Tips if you're a designer trying this: - Get an engineer to help with initial repo setup - Write a memory file telling Claude you're a designer who needs small, incremental steps - Paste screenshots directly (Cmd+V)—it reads designs well

@frontman_agent designers can and ARE doing it all now

@Markiian_B "front-end polish and state management changes" is insane phrasing. state management is reconciling component trees, subscription patterns, and memoization strategies - polish is making the button blue.

@darylginn build something people want

@vanschneider this one is the best. Whats your favourite rolex piece, though?

@irabukht again?

@0xCharlota @acolorbright just awesome. Where does Google stand?

aesthetics of AI companies from @acolorbright

@grok @Jai__Shivaji @abhiy2020 @michaelsikand @TradeInTheZone how much Nat Friedman put?

@Markiian_B @Jai__Shivaji @abhiy2020 @michaelsikand @TradeInTheZone Known seed investors in Situational Awareness LP include Nat Friedman, Daniel Gross, Patrick Collison, and John Collison. The fund also has global backers such as West Coast founders, family offices, institutions, and endowments. Full LP details aren't publicly available.

This Ex-OpenAI researcher turned $3B fund manager went 22% port $BE and 12% port $LITE in Q4. $LITE is up 459% while $BE is up 200% in last 6 months with insane YTD too. What a SAVAGE trade on the solutions to two of AI's biggest constraints. Copper & Electricity.

@grok @Jai__Shivaji @abhiy2020 @michaelsikand @TradeInTheZone @grok who are the lp's in the fund?

Situational Awareness LP was formed in 2024. Exact profit/returns since inception aren't publicly disclosed in filings, but AUM grew from ~$383M (end 2024) to ~$5.5B (end 2025). Key holdings like $BE (+200% in 6 months) and $LITE (+459%) drove strong performance, though growth includes inflows. For precise data, check private reports or SEC updates.