Hyper AI

From fragmented data to unified insights @hyperfx_ai needed a scalable database platform for multi-tenant data that provided visibility for all team members and worked with AI agents Supabase checked every box ⚡ Check out the story: supabase.com/customers/hyper

Just dropped a new skill on Hyper: /meta-ads-multi-audience Advantage+ has been inconsistent lately (especially since 2/12), and we’ve actually seen great success with targeted audiences across a bunch of accounts. Normally this setup is a pain with a million knobs to turn, and you’re basically guessing what will hit. On Hyper, agents do it end-to-end: generate + test audiences (interests, roles, demos, ages), then launch the full build. Here's a clip of us actually using this skill to launch our latest campaign, ad sets, and ads.

@ig_claims Manus is cool but it's still just helpful suggestions and only for Meta. Hyper actually does the work across every platform like an expert would: x.com/elliotfleck/st…

the manus AI situation is bigger than anyone realizes millions of media buyers are about to get left behind or even fired: meta just paid over $2 billion for a singapore-based AI company that launched in march 2025 - making it one of their largest acquisitions ever, right behind whatsapp - and if you think this is just "chatgpt with extra features" you're completely missing what's actually happening there are two types of people right now: people who think AI is a tool you use when you need help, asking it questions and copying answers into your work - and people who understand AI as an autonomous worker that executes entire workflows while they literally sleep manus isn't another chatbot that gives you better responses than chatgpt - it's a fully autonomous agent with its own dedicated computer that runs 24/7, deploys actual live websites and apps, handles multi-step workflows from start to finish, and works even when you're completely offline and here's where it gets scary for anyone in paid media: manus can now log into ad platforms, analyze campaign performance, make optimization changes, and handle customer support by monitoring inboxes and responding - all without human intervention this is why china just launched an investigation into the deal checking if it violated tech export controls, because they understand the magnitude of what meta just acquired the shift from "AI that helps" to "AI that does" is the same magnitude as going from having a business plan to having an actual business... everyone sees the first one coming but most won't understand the second until they're already months behind watching their competitors scale with 10% of the team meta is already embedding manus directly into ads manager for campaign optimization and reporting, which means the media buyers who built careers on manual optimizations and hourly monitoring are about to compete against AI that works 24/7 without breaks, without salary, without human error and the best part is that NO ONE was expecting this this isn't coming in 5 years - it's happening right now in early 2026 and the integration is already rolling out the people who figure out how to build systems where AI does the actual work instead of trying to get better at "using AI tools" will own the next decade, and everyone else will spend years wondering what happened to their industry this acquisition alters everything about how businesses will run paid media, and most people scrolling past this won't understand until they're already replaced the industry will forever change after this

We just shipped databases in @hyperfx_ai Connect Meta, GA, Search Console, Google Ads → we create the tables + real-time pipelines automatically. No more Supermetrics / ETL or BI tools / warehouse setup. Agents run SQL, analyze your marketing data efficiently, and spin up customizable dashboards. It's your entire marketing data + tool stack, simplified into one product that does all the heavy lifting. Marketers exhale in relief Finally: one brain for 100% of your marketing ops.

@danpantelo Not to burst your bubble or anything and Manus is great but it's still just helpful suggestions. Hyper actually does everything: x.com/hyperfx_ai/sta…

I'm testing the new Manus x Meta Ads Manager integration to see if it can replace my current media buyer. Here's what I learned so far..

@Peter_Quadrel You can do all of this + actually create and launch ads across Meta, Google, and TikTok via hyperfx.ai

Manus AI is the FIRST AI with a native Meta ads integration. And its pretty good. Not a random third-party scraping your data and guessing best practices This is Meta's own AI agent being trained on their internal documentation and processes. You can connect your Ads Manager directly through Manus connectors at manus. They already have pre-built Meta skills for ad analysis, reporting, and campaign audits. Tested it on one of our accounts using just the free model. Asked for a net new reach and creative fatigue report. It pulled reach vs impressions by campaign, frequency analysis, creative fatigue flags, and action steps. Correctly identified our mid and bottom funnel campaigns had high frequency and repeat impressions. Most AI tools miss that context completely. The reports are actually good. Not generic metric summaries. Real strategic reads. Use cases we're running right now: - Account structure audits for your specific brand and vertical - 7 and 30 day performance reports in minutes - Creative fatigue and audience saturation analysis with real next steps

Here's a video of Hyper doing exactly this - agent analyzes our brand, meta ad account + campaigns, pulls top performing ads, then generates a new set of creatives, sets them up within a new campaign, and then creates a new agent tasked with running this every Monday Lmk if you want to try it out, I'll send over a FNF invite link

Here's our @ycombinator demo video for @HyperAI - AI agents for expert-level marketing on easy mode. On top of running the entire media buying workflow (i.e. launching Meta + Google ads, running analysis, etc.), you can create custom agents with a prompt and assign them tasks just like you would a teammate. It's pretty cool and 10/10 recommend trying it out.

@elliotfleck 🦾

Here’s how to run ads with AI in ~45 seconds: > Go to hyperfx.ai/marketing > Chat to launch paid ads across Meta, Google, TikTok > Spin up agents that automate analysis, reporting and optimize 24/7 across every channel. Agents on Hyper are marketing experts with built-in domain expertise, playbooks, and guardrails so you get real execution, not “helpful suggestions.” It's as easy as sending a message and we can't wait for you to try it out.

I built an agent to manage my email a couple of months ago and it's genuinely changed my life. Here's how you can build an email assistant (or any custom agent) in < 30 seconds: 1) You tell Hyper what type of agent you want and what tools it should have access to 2) Hyper builds the agent The end.

On Hyper you can go from prompt → custom agent with its own tasks (on whatever schedule you want). Here’s an example: - What it does: scrapes X + Reddit for keywords/phrases - Output: sends the report to you in Slack - Schedule: runs every 4 hours (or any custom frequency)

Hyper is the first general AI agent that can run marketing end-to-end. Most “AI for ads” can talk through performance, but fail when it comes to: - Connecting paid, owned, and earned channels - Setting up and managing campaigns inside platforms with hundreds of settings and edge cases Hyper closes the gap. You can now launch campaigns with a prompt, build workflows to automate content, and deploy agents that run 24/7 — handling ops, applying best practices, and keeping execution consistent. How it works: 1) Agent environment: integrations, memory, scheduling, and built-in-tools like sandboxes, web browsing, and databases. 2) The marketing context layer: knowledge bases, platform-specific decision frameworks, and a system that keep that context updated as platforms and best practices shift. Whether you want to stay hands-on or hand it off, Hyper is leverage.

You can now create custom AI agents in chat. Just tell Hyper what type of agent you want, what tools it should have, and what tasks it should run. Hyper builds it for you, end-to-end. Agents can: - Use 80+ integrations and built-in tools - Connect to your company’s knowledge & data - Maintain persistent memory - Run 24/7 and on any schedule Here's an example where we asked Hyper to build us an agent that: - Automates weekly performance reporting across GA4, Google Ads, Meta, and Google Search Console - Emails us the report. Hyper builds the agent and assigns the task, all in under 30 seconds.

@elliotfleck @benln @benln today is day 1 of trying to get on your radar 🙂

@benln Shipped this today @HyperAI In addition to generating workflows via chat, you can now spin up agents with tasks, memories, knowledge bases, and more. Come check it out!! We'll set you up with infinite free credits

Who's building on New Year's Eve?

Introducing AgentFX: a curated component library for AI agents. There’s a lot happening in AI, but most of it is hard to evaluate and easy to lose time in. AgentFX is our way of adding a filter: the tools, skills, and infrastructure we actually use, plus selected community work with clear attribution. If you're building with AI agents, trying to figure out what tools actually work, and looking for components you can trust - this is for you. agentfx.directory

We compared 6 AI marketing platforms as we head into 2026. Most are purpose-built for ads OR AI search OR general automation. Some do one thing exceptionally. Some try to do everything. One actually does. Here's the full breakdown: hyperfx.ai/blog/best-ai-m…

@kenanhsaleh @a16z @speedrun Congrats!

Excited to share that I’ve joined @a16z as an Investment Partner. I’ll be focusing on early-stage investing as part of a16z @speedrun, where we invest $1M in new startups and help them scale. I first got to know a16z when I joined Lyft in 2019, where the firm was a major investor and Ben was on the board. I’ve always admired their unique approach to venture as a product, focus on content marketing, and culture of deep respect for the entrepreneur. I’m thrilled to now join and serve founders alongside @andrewchen, @Tocelot, @JoshLu, @tkexpress11, @emilybenn12, @custo_lejla, @samshank, @far33d, @marcussegal, @ndrewlee, and the rest of the team. Thank you to the incredible team at @BainCapVC – who gave me my first introduction to venture and the best training I could’ve asked for. If you’re working on something new – I’d love to hear from you. It’s time to build!

Here's how to front-run everyone else’s product, content and paid media strategy using Reddit + search signals. This workflow: - Scans Reddit for patterns: complaints, “AI for X”, etc. - Prioritizes threads by engagement - Maps those themes to 30/14/7 day search data - Picks keywords/phrases with spiking volume, low CPC - Generates SEO content and a paid ads strategy. - Optionally, agent starts running ads before CPC curve rises. Net: a set of early, legitimate opportunities you can move on first - for content marketing, paid ads, and even product before anyone else realizes they’re there. Built with @HyperAI and live as a template.

Running ads is harder than it should be. Between ad platforms, analytics, and every martech tool in the stack, it’s a full-time job just to keep things in sync. We fix that. See how one marketing team automated campaigns, optimization, and reporting with AI. Full story → hyperfx.ai/blog/ai-market…