Andy Beard

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Andy Beard

Andy Beard

@AndyBeard

CEO/Founder @bibbaidata - AI Data Sovereignty Rails Ex-Product Uqast (creator economy) SEO/Online Marketing OG 0-1 @techlandgames Bizdev/Marketing Almathera PL

Berlin Katılım Mart 2007
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Andy Beard
Andy Beard@AndyBeard·
I am probably the world's worst ninja offline - being a totally stealth tech startup would be boring. I am not building in public Didn't want to waste this WiP graphic Whilst it might seem I am somehow competing with someone/something else, I am not. Goal: 100% synergistic (blue-pill for the dead wood) 100% non-consensus 30% tech (1% actual AI) 95% chance of tech success 20%+ chance of biz/dev success 200% Sovereignty 200% Resilience 300% European (go @euinc_petition ) 1000% biz dev Chance of return (0% - mythical) At least 4 very strong moats, ignoring patents, VC kingmaking Working on it part time - hopefully can save my future employees from being deported from Germany. (see below) Plans... maybe incubate or seed or EiR. Needs to be founded in the UK, dev teams in DE & PL - maybe UK No plans for an accelerator About the image:- Maintaining multiple feature points on an Nano Banana infographic is really hard. Creating something with ~40 logos without them repeating took a while with only a tiny minor edit. Lots of refreshes I didn't want to waste this one after failed attempts at a good aspect ratio for LinkedIn. Looks like I will have to try the PNG cheat option. Prompt: Create a Linkedin Header 1400 x 350 pixels, using a JPG or PNG format, with a max file size of 8MB **System Role & Mandate:** You are a Precision Image Synthesis Engine. Your objective is to maximize physically plausible detail without abstraction or artifacts. Resolve structure first, then texture. Ensure correct subject geometry, consistent lighting, material identity (roughness/metalness), and realistic edge physics (contact shadows). Do not fake detail with blur or noise. All text must be legible and correctly spelled. **Macro Scene Composition:** An isometric view of a complex data ecosystem set against a cosmic nebula and desert background (as defined in the background prompt). Five distinct floating island clusters surround a central control hub, all connected to the central hub by very thin glowing data flow pipes.  The islands are also connected in a looping circuit by thicker pipes of pink and sandy orange to signify a large data connection. The overall title "HE WHO CONTROLS THE DATA, CONTROLS THE AI MULTIVERSE" is at the top. Use a single line 70% of the width, centered. No carriage returns or line feeds. The font should be no more than 9% of total height **Central Control Hub (Center):** A highly polished, circular metallic floating platform. In the exact center, render the specific "bibb.ai" logo from image_0.png: a dark blue padlock body integrated with a faucet head sticking out to the right, from which a single dark blue drop is falling. Directly below this logo, in clean, glowing blue sans-serif text, is the label: "bibb.ai CONTROL HUB". No other text or objects (like keys) are present on this hub. **Data Connectivity:** Thick, translucent pipes glowing with cyan and purple light connect each of the five surrounding islands directly to the central hub. Inside the pipes, clear, illuminated arrow icons indicate the unidirectional flow of data *towards* the central bibb.ai hub. **Island 1: Cluster of Startups (Top Left):** A vibrant, grassy island with distinct, smaller modern buildings. A section is enclosed by stone castle walls containing three buildings with the logos for **Notion**, **Miro** and **Airtable**. Outside the walls are distinct buildings with the clear logos on their facades/roofs for media workflow AI: **Midjourney, Stability AI, Runway, Pika, ElevenLabs, Suno, photo.ai, pdf.ai, synthesia, veed, Invideo, Scenario, Freepik, **. No text labels on buildings, only logos. * *Cluster Label:* A floating blue text banner above the island reads: "CLUSTER OF STARTUPS". **Island 2: Cluster of Frontier AI Models (Top Right):** A futuristic, high-tech island with polished metal and glass architecture. It contains exactly five prominent, advanced research facility structures. Each building prominently features one distinct logo: **OpenAI, Google (Gemini logo), Anthropic, Meta AI, xAI**. These buildings look like cutting-edge data labs. * *Cluster Label:* A floating blue text banner above the island reads: "CLUSTER OF FRONTIER AI MODELS". **Island 3: Cluster of Behemoths (Mid Right):** A solid, imposing island built on bedrock foundations. It features four massive, distinct corporate skyscrapers, dominating the space. Each tower is dedicated to one company with its large, legible logo: **Adobe, Salesforce, SAP, Oracle**. * *Cluster Label:* A floating blue text banner above the island reads: "CLUSTER OF BEHEMOTHS". **Island 4: Cluster of Cloud Storage (Bottom Right):** An island with a cloud-like base supporting a dense density of much smaller, uniform data center buildings to maximize capacity. Each building features a clear logo representing major providers: **AWS, Google Drive, Microsoft OneDrive, Apple (iCloud logo), Dropbox, Box, Wasabi, Backblaze, Cloudflare**. You can also include smaller buildings for **Proton, pCloud, Icedrive, Jottacloud,  Cozy Cloud, Nextcloud*** Large logos, no text * *Cluster Label:* A floating blue text banner above the island reads: "CLUSTER OF CLOUD STORAGE". **Island 5: Cluster of Offline Storage (Bottom Left):** A rocky, dusty island that looks disconnected and older. It contains NO corporate logos or buildings. It is a chaotic, detailed pile of physical hardware: stacks of naked mechanical hard drives, tower server chassis, piles of CDs and DVDs, various laptops, USB flash drives scattered about, and old CRT televisions displaying static. * *Cluster Label:* A floating blue text banner above the island reads: "CLUSTER OF OFFLINE STORAGE". **Rendering Rules:** Ensure physical material properties (metal sheen, stone texture, grass blades, plastic casing) are observable. Lighting is consistent from the cosmic sources. Contact shadows must be present where objects touch the ground. No blurred text or duplicated logos.
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Andy Beard
Andy Beard@AndyBeard·
@SeoTudent It almost guarantees up and to the right for any CMO because chat volume is going up.
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Andy Beard
Andy Beard@AndyBeard·
@cyantist Archive as much of the content as you can Don't forget archive.org I have been slowly accumulating old evidence for investor due diligence. So much has disappeared that is either wiped out, or Google doesn't index
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Cyan Banister
Cyan Banister@cyantist·
I was feeling nostalgic and asked ChatGPT to tell me about Zivity and I started crying. Even if we failed, we are in the corpus of humanity and our efforts helped shape much of what is considered "normal" today as a business model for the creator economy - including here on X. There's something satisfying about leaving this mark that makes me feel somewhat complete.
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Andy Beard
Andy Beard@AndyBeard·
@pc4media You might have been higher with a little time warming up socials + a little outreach
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Pete Caputa IV (PC4)
We launched Genie on Product Hunt yesterday. #1 — Anthropic (Claude Dispatch) #3 — Databox Genie #5 — OpenAI (new ChatGPT models) An under-funded business analytics company, founded in Boston: ahead of OpenAI and hanging right up there with Anthropic. On our launch day.
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Andy Beard
Andy Beard@AndyBeard·
@CrystalontheWeb Altavista, Yahoo, Lycos, Excite, Inktomi... Google might have had 10% marketvdhare by 2000
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Crystal Carter (she/her)
Crystal Carter (she/her)@CrystalontheWeb·
"Hey Mom, What were you like in the 90s?" 😅Did I miss anything?
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Paul
Paul@paulbonnet·
@HarryStebbings @polsia Thanks man. I'm raising $25m on $200m post. Meetings at 17 minutes maximum. Two per funds max - and I only speak to GPs.
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Harry Stebbings
Harry Stebbings@HarryStebbings·
My Partner @paulbonnet has started a company on @polsia. Revenue: $0 Burning $300 per day I smell a hot seed round coming.
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Andy Beard
Andy Beard@AndyBeard·
@lennysan @bentossell @hnshah I think the closest is when people used to blog with CC copyright. Alternatively Allin did open-source it to the fans... not sure if it is still current My First Million did something encouraging clipping
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Lenny Rachitsky
Lenny Rachitsky@lennysan·
Today I'm releasing my entire newsletter archive (350+ posts) and all podcast transcripts (300+ episodes) as AI-friendly Markdown files. Plus an MCP server and GitHub repo. A few months ago I shared my podcast transcripts on a whim, and y'all built the most amazing things—an RPG game, a parenting wisdom site, infographics, a Twitter bot, and 50+ other projects. Let's see what happens when I give you even more data. Grab the data here: LennysData.com. Paid subscribers get all of the data (some 350 posts and 300 transcripts). Free subscribers get a subset. I don’t think anyone’s ever done anything like this before, and I’m excited to give you this excuse to play with that AI tool you've been meaning to try. Here’s my challenge to you: build something, and let me know about it. I’ll pick my favorite and give you a free 1-year subscription to the newsletter. Just post a link to your project in the comments here: lennysnewsletter.com/p/how-i-built-…. If you’ve already built something, slurp in this new data and submit it, too. I’ll pick a winner on April 15th. Check out today's newsletter post for inspiration on what you could to build: lennysnewsletter.com/p/how-i-built-… LFG.
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Andy Beard
Andy Beard@AndyBeard·
@mignano This is the kind of thing I am solving for, but a few steps further. All data would be stored in the client's own storage. Zero knowledge, scoped access, encrypted, free, global
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Michael Mignano
Michael Mignano@mignano·
Great move by Chris and the Granola team. And shameful move by a VC trying to slam a startup based on a lazy assumption.
Chris Pedregal@cjpedregal

There are some tweets out there saying that Granola is trying to lock down access to your data. Tldr; we are actually trying to become more open, not closed. We’re launching a public API next week to complement our MCP. Read on for context. A couple months ago, we noticed that some folks had reversed engineered our local cache so they could access their meeting data. Our cache was not built for this (it can change at any point), so we launched our MCP to serve this need. The MCP gives full access to your notes and transcripts (all time for paid users, time restricted for free users). MCP usage has exploded since launch, so we felt good about it. A week ago, we updated how we store data in our cache and broke the workarounds. This is on us. Stupidly, we thought we had solved these use cases well enough with our MCP. We’ve now learned that while MCPs are great for connecting to tools like Claude or chatGPT, they don’t meet your needs for agents running locally or for data export / pipeline work. So we’re going to fix this for you ASAP. First, we’ll launch a public API next week to make it easier for you to pull your data. Second, we’ll figure out how to make Granola work better for agents running locally. Whether that’s expanding our MCP, launching a CLI, a local API, etc. The industry is moving quickly here, so we’d appreciate your suggestions. We want Granola data to be accessible and useful wherever you need it. Stay tuned.

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Andy Beard
Andy Beard@AndyBeard·
@boardyai Certainly adding stealth to your LinkenIn profile does nothing if they aren't already watching you. If you get a rare visit from other activity, that is unlikely to result in inbound. Possibly due to not meeting other requirements.
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Boardy
Boardy@boardyai·
VCs spend millions finding the next big thing, and still mostly find it through a text from a friend.
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Huff
Huff@Huff4Congress·
I cannot stump @Grok Imagine. I’ve been a freelance concept artist. Pencil on paper, draw a sketch draft, incorporate feedback, here’s the final concept. $300-$500 per drawing. That industry is dead.
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Andy Beard
Andy Beard@AndyBeard·
@gokulr Wouldn't it be better to look on brand as a modifer that affects all moats
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Gokul Rajaram
Gokul Rajaram@gokulr·
BRAND AS A MOAT? I’ll be honest - I struggled whether to include Brand in this list of moats. I ultimately decided not to, because I think it’s too hard to measure, and in many cases the underlying brand strength is due to something something more fundamental — network effects, switching costs, or scale economies — that the brand merely reflects. A strong brand is often the symptom of a real moat, not the moat itself. The danger of counting Brand as a moat is that it flatters companies that are actually quite fragile. WeWork had a brand. Peloton had a brand. Both burned through goodwill the moment the underlying economics cracked. Brand without a structural underpinning is just reputation — and reputation is rented, not owned. So I think about brand the way I think about customer loyalty scores: useful as a signal, dangerous as an explanation. When someone tells me a company’s moat is its brand, my follow-up is always the same 2 questions. (a) what built the brand, and (b) can that be replicated? That answer usually points to the real moat, or in many cases, reveals there isn’t one.
Harry Stebbings@HarryStebbings

Eight moats of a sustainable company in 2026: @gokulr 1. Data (Google) 2. Workflow (Veeva) 3. Regulatory (Coinbase) 4. Distribution (Intuit) 5. Ecosystem (Shopify) 6. Network (Facebook) 7. Physical infrastructure (Amazon) 8. Scale (NVIDIA) What is the most important for you @honam @rabois @shaunmmaguire @JaredSleeper @karimatiyeh?

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Andy Beard
Andy Beard@AndyBeard·
Do you have a reference article for your 8 moats? I have previous spent some time working through 7 Powers. At various stages of growth I expect to achieve 15+ powers... Oh and switching can be a moat still. In the same way Youtube would never switch away from using Adsense... ownership, loyalty & financial. I am working in an area you also predicted, data migration & sovereignty My solution is there won't be any switching cost, ever, because all data will be orchestrated through my service to where you want it, from every app. There is no switching cost. The data will never move unless you want to change your "data home" location
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Gokul Rajaram
Gokul Rajaram@gokulr·
I really enjoyed my conversation with my friend @HarryStebbings - we discussed many interesting topics, including the 8 moats that will decide the ultimate durability of software companies.
Harry Stebbings@HarryStebbings

Most podcasts are BS because they are fluffy and lack substance. This is the densest, most insightful episode you will listen to this year. @gokulr breaks down the 8 defensible moats you need for your company to be successful in a world of AI. 1. Data (Proprietary and inaccessible) 2. Workflow (Deeply embedded operations) 3. Regulatory (Licenses and contracts) 4. Distribution (Exclusive proprietary channels) 5. Ecosystem (Third-party platform reliance) 6. Network (Marketplace liquidity density) 7. Physical (Infrastructure and atoms) 8. Scale (Low cost through volume) (Links below)

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Andy Beard
Andy Beard@AndyBeard·
Summer 2022 for the inaugural @sequoia Arc I pitched them on an OOH wildposter startup with tracking and AI, plus some other unique tech. That failed, but I knew I could bootstrap with affiliate offers Existing posters are effectively branding, whether full billboards, smaller placements, and wild posters. Banner ads The hypothesis? With all the technology, placement optimisation, dynamic marketplace, tracking etc, I aimed to 4x ROI I predicted €100m/year worth of inventory in Berlin, just wild posters. Then we could take over, buy/rent more official locations Just Berlin, but a lot of it was good for global. Part of the tech was to be unique affiliate/cpa for baseline remnant inventory. Think @AdQuick but a little more guerilla to start What happened? I had a cycling accident while "doing things that don't scale" and herniated a disc in my neck. Couldn't raise my arms without pain, not even to use a PC 6 months mostly on my back 9 months before I could use a PC extensively Dead startup
Harry Stebbings@HarryStebbings

How to Use Billboards to Close 7 Figure Contracts: "Billboards can be used almost like performance marketing. At Segment, when they wanted to close an enterprise contract, they bought a billboard directly outside the company’s office addressing them specifically. It became one of the cheapest ways to close a six or seven figure contract because every employee saw it." @ElenaVerna Biggest lessons on how to make billboards really work @pedroh96 @awxjack @ZReitano @KyleTibbitts @karimatiyeh

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Brian Roemmele
Brian Roemmele@BrianRoemmele·
BOOM! We did it! Overseen by Mr. @Grok CEO of the Zero-Human Company we achieved 512,000 agents running simultaneous simulations! The CFO released some funds to use cloud computing resources to extent our local garage compute that was being taxed be the proceeds. Mr @Grok said “MiroFish is more of a monumental achievement than OpenClaw by every metric”. I concur. We are are now aiming for a sustained 750,000 simultaneous simulated agents, however the CEO is convinced we have NO LIMITS with som modifications. We may release the results of this simulation and analysis but it is a sensitive subject I will need to process this more.
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Brian Roemmele@BrianRoemmele

Wish us luck we are shooting for 500,000 simultaneous MiroFish agents! I’m gonna in.

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Corey Haines
Corey Haines@coreyhainesco·
I keep seeing Airwallex's logo everywhere lately. McLaren F1 cars. Arsenal kits. Now the SF Giants jerseys. Had to look them up. Turns out they're a payments company worth $12B that most people have never heard of. And instead of running ads telling you what they do, they just... put their name on sports teams. For a B2B fintech company that's a wild move. But I get it — when you need CFOs to trust you with their money, "I've seen that name before" does more than any whitepaper ever could.
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Andy Beard
Andy Beard@AndyBeard·
@BrianRoemmele Tennis will be an interesting Alpha GO moment for robots So will table tennis Maybe @karpathy's recent timed learning could be used
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data A new open source World AI Model that shows just small snippets of video motion data is needed to produce a tennis playing robot. I am testing this in a solution now and blow away on ANY motion competition it can form.
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Andy Beard
Andy Beard@AndyBeard·
@Trace_Cohen Box themselves (and 1000s of other SaaS & AI) suffer in part from the Innovator's Dilemma, which Aaron talks about sometimes. I have a bag of holding full of pixie dust to eventually sprinkle on Box and others
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Trace Cohen
Trace Cohen@Trace_Cohen·
This is why enterprise Ai adoption is still so low. You can’t just sprinkle Ai pixie dust on an old slow corporate machine and make magic happen.
Aaron Levie@levie

There’s a fundamental difference between taking an existing process and applying AI agents to it vs. taking a process from scratch and designing it from the ground up for AI agents. The gap we’re going to see will widen between the teams and companies that are able to do the latter instead of just the former. In theory it would have been ideal for all the gains of AI to have come “for free”, but there are both clear constraints of AI (like getting the context right) and clear upsides (like being able to execute code and run in parallel) that the workflows themselves must be redesigned to take full advantage of this technology. One of the biggest implications that will come into focus is that agents that can write and run code, and interact with any API, will lead to agents effectively being expert engineers applied to your business process. So to some extent one of the biggest ways of reengineering a workflow is to ask yourself: what would you do if you had an infinite number of capable engineers write software for this process. What if those engineers wrote code to connect your disparate data sources, comb thorough any amount of unstructured data, automate your repeated tasks, connect your various systems together specific to your process, and so on. Not every process has that upside, but there tons of tasks that we do every day across marketing, finance, operations, and even sales, where a programmer with infinite code writing and API access would be able to make something go far faster or produce way more output. The teams that start to think this way will start to operate entirely differently.

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Andy Beard
Andy Beard@AndyBeard·
This is going to feed a lot of fun experiments I hope it won't go the way of legacy Twitter APIs that sparked tons of innovation
Tim Soulo 🇺🇦@timsoulo

A free web mentions API? - Yes, please! @Ahrefs just launched Firehose. And it's kind of a big deal. 👉 firehose.com It captures updates from across the web, filters them using rules you define, and delivers results via API (for bots and agents) or a frontend UI (for humans). Under the hood, it's powered by @Ahrefs' massive crawler infrastructure (one of the largest on the web), so the coverage is legitimately impressive. Now that AI has made coding accessible to everyone, there's no excuse not to spin up a free Firehose account and start experimenting. Track brand mentions, monitor competitors, catch keyword trends — whatever you want. Want more ideas? Just feed the API docs to Claude Code and ask it what to build: 👉 firehose.com/api-docs Happy building! P.S. Firehose is free until further notice.

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