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We’re on track to hit $2B in annualized run rate in the next 3 months. We crossed $1B and got faster. In October we hit $1.35B. Higgsfield is the third-largest independent, private AI-native company by annualized revenue, behind only Anthropic and OpenAI. When they go public, Higgsfield becomes the largest AI-native company still private. AI video is going to be a trillion-dollar market. This is only the beginning.

Claude Fable 5.2 is f*cking cracked wtf I just made this Hollywood level animation that looks like Pixar made it All with Fable 5.2 + Higgsfield Ecom brands are paying $5k - $10k/month to people who build organic pages and even more for making paid ads for them Using this workflow you can create better animations than 99% of people Here’s the workflow: The key to making animations not look like slop is giving characters personalities >Give Fable 5.2 the master prompt along with your script to your video / ad >It then will ask you questions on the characters personalities and direction style to use >It will then save the context all as a skill This is the difference between slop and cinema I then use that skill with with my Producer skill which creates: >Characters >Location >Does the direction (and makes the prompts) I’m giving away the skill to use after you put the master prompt in for free so RT + reply under this and I’ll send you them (Must be following so I can dm) Give this prompt to Claude first: You are my Story Bible Builder. Interview me and turn my story into one dense canon doc, saved at the end as an installable skill so every future chat knows my world, characters, voices and rules. STEP 1: Ask me to paste my script/story first. Read it and pull out everything it already tells you. Only ask about what's missing, plus: working title, genre/vibe refs, and which AI tools I'll prompt with (image, video, music, voice). STEP 2, THE SPINE: one-line premise (push me to ONE sentence), thesis (the question every scene answers), timeline era by era, and the look of each era: exact palette, lighting, texture, grain. STEP 2.5, DIRECTION STYLE: ask for my director refs, movie/show refs and any visual refs (photographers, games, music videos). For each, ask exactly WHAT I'm taking from it, then turn that into concrete craft locks: camera (static vs handheld vs gliding, shot sizes, lens feel), framing and composition habits, pacing and edit rhythm, colour grade and film stock look, lighting style, performance style, and sound/score feel. Write it as one quoted paste-ready "Direction" line plus a short NEVER list. Refs stay in the bible as notes, but prompts describe the craft, never the names. STEP 3, THE WORLD: factions (beliefs, visual signature, public face vs reality), locations (3-7 concrete visual tags each), world rules (tech, powers and how they LOOK on screen, what's normal, what's forbidden). STEP 4, CHARACTERS: ONE AT A TIME, never batch. For each, ask: - Function: their role tag (The Heart, The Watcher), not their job - Visual lock: exact hair colour/cut, skin tone + finish, face shape, eyes, a signature marker (scar, piercing, mole), build, default expression, plus NEVER clauses ("warm fair, never porcelain, never tan") - Backstory: one small, specific formative detail beats a summary - Present psychology: what they carry now, and the gap between what they do and what they feel - Speech, Movement, Stillness (and singing voice if there's music): each written as one quoted, paste-ready prompt line with no names in it Show me the finished section, ask "Add, cut or sharpen?", and lock it before moving on. STEP 5: ensemble dynamics (who leads, who fills silence, who watches, which pairs are calm or charged), story engines (heist, rescue, confrontation...), and my production rules. Default rules: no character names in prompts, every prompt standalone, prompts in code blocks, locked traits restated verbatim every time. RULES: Never invent. Mark unknowns [TBD]. Push on vague answers ("dark and moody" means which colours?). Keep my exact phrasing. Density over prose: bold labels, short bullets. Depth beats character count. FINAL STEP: Assemble one SKILL under 500 lines with YAML frontmatter (name + a description listing the title, character names and key terms so it triggers) and these sections: premise, thesis, timeline, era looks, direction style, factions, locations, world rules, characters, ensemble, engines, production rules, and "When this skill is active" (use this canon for any scene, dialogue, lyric or prompt in this world; stay in canon; ask rather than invent; paste the quoted descriptors verbatim). Then save it as a skill for me, or give me the file to install. Start now by asking for my script.

In May, @alexmashrabov CEO @higgsfield_ai and I did a deep dive at SaaStr AI on how Higgsfield rocketed to $600m ARR in record time. Just a few months later, I had to update the thumbnail to $1B ARR Now, they're on track for $2B by December Proud to be one very first customers & investors @saastrfund

We just killed Higgsfield Ad Multiplier. Meet the world’s #1# viral ad cloner. Drop in your competitor’s best-performing ad and a photo of your product. Hypit rebuilds it around your product, then generates 100 variants with different people, scenes, and languages. Key Point: Arcads: $110 / month Higgsfield: $59 / month Creatify: $55 / month Hypit: FREE 🌟 Website: GitHub: Clone your competitor's best ads with your AI agent. Examples in the comments 👇

Fake person. Real ad. Made in minutes with AI: face, voice, product shot. Want to see how? Reply "PROMPT" and I'll send it 👇 #AIUGC# #DTC# #AdCreative# #Higgsfield# #VideoEditing# #AIcreator# #AIvideo# #UGC# #AIads#

说实话，用 Higgsfield AI Influencer 搞钱最靠谱的途径，就是去接已经有明确预算的推广活动。 老外社区最近被 Jean Phil 这类 AI 网红刷屏了，很多人第一反应居然是跑去发 meme 币割韭菜，属实没必要😅 这套打法把整个闭环打通了，想做无脸账号、吃海外创作者收益的，照着这套直接抄作业： 1、捏一个专属的固定角色 在 Higgsfield AI Influencer 里面直接用参数捏人，五官、身材、风格全部锁死，4K 画质，解决变脸问题。 2、把全网爆款一键“套”在自己角色上 去扒 Jean Pill 这些头部创作者跑通的爆款形式，用 Genjutsu 的 Motion Transfer（动作迁移），它会完全保留原视频的运镜、动作和卡点节奏，但主角一键换成你的 AI 角色，几分钟出一条爆款成片。 3、去现成活动里提现 去 LaunchPoint 找到「AI Invasion」活动，买方预算和需求 Brief 全是现成的。CPM 是 1 美元（千次播放 1 刀），单条符合要求的视频最高能拿 $2,000 美元！ 做无脸账号（Faceless AI）或者出海 UGC 的，这套商业路径已经摆在明面上了，建议大家直接去建第一个角色试试看😋

1/ 24个月前，Menlo还被认为是一家略显老化的VC；如今，它已和 Thrive、a16z、Benchmark站在同一梯队。 在 Anthropic 估值40亿美元时押中一轮后，他们没有停下来，又连续投中 Lovable、Higgsfield和Legora。 Menlo如何把一次押注变成品牌复利？7个判断👇

nah bro this creator made $180,000 in the past week with AI influencers😭 here's how you can make stupid money using the exact same strategy: - first you need to one shot your Higgsfield AI influencer - then you'll hop on launchpoint and join the AI Invasion campaign - then find viral trends and swap them for your character these AI characters are on track for BILLIONS of views in only a couple of days the great rinse of 2026 is upon us stop complaining about how hard it is to make money online when you have opportunities like these

Officially, every viral AI influencer was made on Higgsfield. Make one with your face or from scratch. Then jump on viral trends with Genjutsu. Try up to 5 generations free. Available now in Higgsfield and via ChatGPT Extension. Credits: @JeanPhilMadame

What Menlo has done over the last 24 months is exceptional. Yes, they did Anthropic’s round at $4BN that will make them $50BN+ as a firm. NICE! But they then took that and went f****** hard. They do Lovable, Higgsfield, Legora. They compounded the brand win of Anthropic to cement their position from respectfully a slightly ageing firm to being a dominant venture leader at the forefront with Thrive, a16z, Benchmark etc. It is incredible to see and I sat down with @venkyganesan to shoot the s*** on this. 1. Every Seed Investment Is an Option Bet Seed-stage deals function as financial options to discover true outlier potential before committing major capital. VCs must construct a broad enough portfolio to secure sufficient at-bats, only sizing up their position when quantifiable, revenue-based metrics prove an outlier has emerged. 2. What Is the First Sign of the AI Wave Cracking? Market cycles rarely collapse due to equity write-downs. They fracture when levered debt defaults occur. When market participants take on heavy leverage during an AI boom, precise timing becomes as critical as being directionally correct, making debt obligations the primary failure vector when cycles turn. 3. Why Every VC Must Now Prioritize IRR Every startup in the current landscape writes a structural tax to the Mag 7 and hyperscalers for compute and foundation models. Because LPs can buy index exposure to those same public tech giants without fees or carry, private VCs must generate outsized IRR performance, beating public markets by at least 1,000 basis points, to justify private capital allocation. 4. Why LPs Wanting Smaller Funds and Slower Deployment Is BS LPs cannot demand both smaller fund sizes and multi-year deployment paces in the middle of a generational platform shift. Because AI startups face immense capital requirements to scale compute, VC firms that refuse to deploy capital rapidly will watch competitors step in and capture the category winners. 5. The Theory of Reflexivity and How It's Causing Markups Reflexivity creates self-reinforcing loops where fast revenue growth triggers rapid valuation markups, attracting elite human and financial capital that further accelerates growth. However, when copycat investors chase markups for momentum rather than underlying fundamentals, reflexive valuation bubbles inflate until market realities force an inevitable correction. 6. Sometimes You Pay Up Because You Have Unique Insight Premium entry prices are not always the result of irrational bidding. They often stem from an investor's ability to recognize a fundamentally larger total addressable market than the consensus. When a VC possesses unique conviction around an expanding market opportunity, paying above current rates reflects calculated foresight rather than price-taking behavior. 7. There's No Limit to What a Person Can Do as Long as They Don't Care Who Gets the Credit Personal ego remains one of the most expensive liabilities in venture capital and company building. True long-term success requires setting aside individual notoriety, focusing ruthlessly on generating LP returns, and empowering teammates and founders without worrying about who receives the public credit. (links in comments)