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A small thank you to our community 💚 To celebrate Higgsfield’s $1 Billion revenue run-rate, we’re resetting the subscription credits you’ve used this month. Keep making things you love. This one’s on us.

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)

1/ 看过足够多的 AI 公司发布和增长后，会发现那些突然爆发的创业公司，往往都在重复同一套模式。 第一点：高频发布。 有人服务的一家公司每周三固定发布；Higgsfield 每周发布 2—3 次，始终在制造新的讨论点。👇

我靠，这太香了，有AI视频需求的，这波可以冲了！！！ 做 AI 视频、产品、跑矩阵，最头疼的就是贼贵的价格，稍微跑点量几千刀就没了。。。 Higgsfield 搞了个 2000 万美元的 API 返现池，直接 100% 全额返还（上限 10 万刀）。 看一眼价格表，原本定价就比 Fal 便宜了 69%，叠加返现后成本几乎见底！ 让你能够低价格、高质量地跑通很多商业闭环： 1、AI 短剧/连载出海：Seedance 2.5 在美国开放了 Face References（人脸参考），多镜头人脸完全一致，不用再担心换镜头就换人的痛点 2、社媒 UGC / 电商带货：Genjutsu 动作替换 + Cinema Studio 1080p，批量跑爆款带货视频 3、轻量 AI 工具开发：所有主流生图生视频模型整合在一个 API 里，单图两厘钱，做套壳工具毛利拉满 活动必须在 9 月 30 号前获得并用完，先到先得。

Build your next business with GPT-6 Astra + Higgsfield API. We’re backing builders with a $20M API cashback. @gregisenberg filmed a step-by-step guide on YouTube 24 hours ago you can copy and implement. Get 100% of your API spend back instantly in API credits, on every model. Up to $100,000 per business. Spend $100,000 → get $100,000 back in API credits, for a total of $200,000 worth of API usage. Unused cashback expires on September 30. Can’t wait to see what you’ll build.

We're announcing 100% cashback on every model on the Higgsfield API platform. Seedance 2.5, Kling 3.0, MiniMax H3, Wan 3.0, and more. Spend on the API and get your cashback instantly, up to $100,000 per business. $20,000,000 cashback pool. First come, first served. You helped us reach a $1B run rate. We’re celebrating by putting $20M back into what you build next. Unused cashback expires on September 30.

Today, 18 months after launch, our annualized revenue crossed $1 billion. The platform now powers organizations across the Fortune 500. Enterprise adoption has grown 10x since June. More than 30 million people worldwide now use Higgsfield. Thank you to the creators and teams building with us.

patterns in the ai startups that blow up if you advise enough companies, take enough founder calls, watch enough launches, you start to see repeating structures here’s the blueprint all of them share: 1. a relentless launch cadence they never shut up one of my clients launched every wednesday higgsfield launches 2-3x/wk always manufacturing something to talk about 2. one channel = unfair advantage they’re active everywhere but one channel carries them 3. a founder who’s the face the founder is the loudest account in the company weekly podcasts. vlogs. clip & ugc farms people know the product bc they know the founder 4. volume over perfection they never post and chill out they tell the same story 100 times for every post that does 10k views, another does 10m 5. no fear of price the loudest ai companies don’t negotiate they spray higgsfield is a perfect example of crazy budgets 6. a second motion once plg breaks elevenlabs is around $500m arr i believe the first $300m came from plg the rest came from enterprise, now 50/50 ish 7. omnipresence over roi on most channels they stop asking about direct roi they ask how the whole entire planet hears abt them scroll anywhere & they’re there they think blended CAC growth at the highest level isn’t random it’s a pattern repeated by everyone with skin in the game once you see it. you can’t unsee it.

🎉🎉🎉 看左侧是 GPT Image 2 生成的，右侧是 GPT Image 2.5 生成的。 这组对比中，GPT Image 2.5 的发丝、针织纹理和手部轮廓更清楚，光影更自然，整体更接近精致手办的商品展示效果，而左侧 GPT Image 2 只能说还凑合。 GPT Image 2.5 的适用性已经完全不一样了。 而且现在 OpenAI 还在 API 中引入了两个新图像模型：Sunburst 侧重精细编辑，Flare 主打快速出图。 如果你没有 API 可在 Higgsfield 上直接试用。