# FlowGPT vs Machine learning at scale FlowGPT records 1,761,490 monthly visits with +13.3% month-over-month growth and Freemium pricing. Machine learning at scale records 0 monthly visits with 0% growth and Freemium pricing. | Metric | [FlowGPT](https://openaitools.app/tool/flowgpt) | [Machine learning at scale](https://openaitools.app/tool/machine-learning-at-scale) | | :--- | :--- | :--- | | Website URL | https://flowgpt.com | https://machinelearningatscale.com | | Categories | AI Prompt Generator, Prompt Engineering, AI Chatbot | AI Tutorial, AI Course, Large Language Models (LLMs), AI Developer Tools | | Pricing Model | Freemium | Freemium | | Monthly Visits | 1,761,490 | 0 | | MoM Growth Rate | +13.3% | 0% | | Primary Market | United States | Global | | Direct Visits | 1,176,441 | 0 | | Review Score | 3.9 | 4.6 | | Saved Count | 16 | 2 | | Supported Platforms | Website | Website | ## FlowGPT FlowGPT began as a place to collect ChatGPT prompts and has grown into an open platform for AI applications. Users publish "characters" — a prompt plus a personality, opening line, and sometimes a model choice — and the community chats with them, votes on them, and iterates on them. Categories range from coding assistants and academic writing to roleplay, games, marketing, and productivity. Because the content is crowdsourced, quality varies widely, but that is also the appeal: the trending and leaderboard views surface prompts with proven engagement, and niche categories fill gaps that generic assistants ignore. Every character can be used in-browser, and creators get visibility plus a path to rewards through bounties and the platform's credit wallet. The platform also offers membership tiers and a subscription for users who want more usage or premium capabilities. It is free to browse and to chat with most public bots, making it an easy entry point for anyone curious about prompt engineering without writing prompts themselves. **Pricing & Plans:** Free to browse and chat with most community content; optional membership, subscription, and credit-wallet features exist for premium prompts and heavier usage. - **Prompt and character library:** Browse a huge library of user-made chatbots and prompt templates sorted by trending, category, and popularity. - **Chat in the browser:** Start a conversation with any published bot directly in the browser, no setup or API key required. - **Creator tools:** Create a character with its own name, avatar, greeting, and instructions, then publish it to the community. - **Leaderboards and views:** Trending charts and usage counters show which prompts are actually working for other people. - **Bounties and wallet:** Bounties and a wallet system let creators earn or spend credits for premium prompts and features. **Strengths:** Enormous, constantly updated library of prompts and characters; Chatting works instantly in the browser with no setup; Trending and leaderboard data helps you find prompts that actually work; Free to use for the vast majority of content **Limitations:** Crowdsourced quality is uneven and some categories are unfiltered; Popular characters can feel repetitive or dated as models change; Some premium prompts require credits or a membership [Profile (Markdown)](https://openaitools.app/tool/flowgpt.md) ## Machine learning at scale Machine Learning at Scale is a newsletter and learning resource published by Ludo, a machine learning engineer at Google. Its stated goal is to help readers become '10x' ML engineers by going beyond introductory tutorials and into the realities of running machine learning in production: how systems are designed, where they break, and which patterns scale. The content programme is organised around case studies, design patterns, deep dives and career advice. Topics include LLM inference at scale, recommendation systems, search and ranking, RAG in the AI era, and ads systems, alongside coming-soon deep dives into machine learning systems. The author draws on experience fighting abuse at 500k QPS, pretraining and fine-tuning transformer models, working on end-to-end YouTube Ads systems, applying ML at CERN, and a computer-vision thesis at Volvo. Community and career support are part of the offering: a growing base of ML engineers from leading companies subscribe weekly, and the site includes an FAQ on getting started with ML, getting into big tech, MLE versus data scientist roles, and whether a PhD is necessary. Extra resources include an upcoming MLSys course, a YouTube channel and curated book recommendations. **Pricing & Plans:** Freemium. The newsletter and much of the resource library (articles, FAQ, career advice) are free to read, with email subscription; the site also references paid offerings such as a course. - **Case studies and design patterns:** Read breakdowns of ML systems design, LLM inference at scale, recommendation systems, search and ranking, ads systems, and RAG. - **Weekly newsletter:** Get weekly high-quality insights and practical guidance written by an ML engineer working on large-scale production systems. - **ML systems deep dives:** Deep dives into LLM optimisation, LLM training and ML system design for engineers moving beyond tutorials. - **ML career advice and FAQ:** Guidance on getting started in ML, breaking into big tech, choosing between MLE and data scientist paths, and whether a PhD is worth it. - **Course, YouTube channel and book picks:** Supplement your reading with a dedicated MLSys course, a YouTube channel, curated book recommendations, and ML jobs listings. **Strengths:** Written by a practising ML engineer at Google; Focuses on production ML systems rather than toy examples; Free weekly newsletter with a large readership of ML engineers; Practical career guidance on breaking into big tech and MLE roles [Profile (Markdown)](https://openaitools.app/tool/machine-learning-at-scale.md) ## Frequently Asked Questions ### How do FlowGPT and Machine learning at scale compare in monthly traffic? FlowGPT has 1,761,490 monthly visits, while Machine learning at scale has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? FlowGPT has a month-over-month growth rate of +13.3%; Machine learning at scale has 0%. ### How does pricing compare? FlowGPT: Freemium. Free to browse and chat with most community content; optional membership, subscription, and credit-wallet features exist for premium prompts and heavier usage. Machine learning at scale: Freemium. Freemium. The newsletter and much of the resource library (articles, FAQ, career advice) are free to read, with email subscription; the site also references paid offerings such as a course. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | -7.2% | Freemium | AI engineering courses, certificates, and the world's biggest AI newsletter | [.md](https://openaitools.app/tool/deeplearning-ai.md) | | 2 | [MeiGen AI Prompts Gallery](https://openaitools.app/tool/meigen-ai-prompts-gallery) | 1,453,583 | -32.8% | Freemium | Includes integrated generation canvases for remixing prompts, but focuses more on visual media than persona chatbots. | [.md](https://openaitools.app/tool/meigen-ai-prompts-gallery.md) | | 3 | [PromptHero](https://openaitools.app/tool/prompthero) | 1,044,654 | -2.4% | Freemium | Offers a robust search engine for generative AI prompts, but lacks FlowGPT's interactive community chatbot personas. | [.md](https://openaitools.app/tool/prompthero.md) | | 4 | [The Rundown AI](https://openaitools.app/tool/the-rundown-ai) | 1,018,070 | +28.6% | Free | The top AI news and how to apply it, in five minutes a day | [.md](https://openaitools.app/tool/the-rundown-ai.md) | | 5 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Free courses, live events and community for building real AI skills | [.md](https://openaitools.app/tool/openai-academy.md) | | 6 | [PromptBase](https://openaitools.app/tool/promptbase) | 538,129 | -1.8% | Paid | Focuses on buying and selling verified prompt templates, whereas FlowGPT emphasizes free community sharing and chatbot chats. | [.md](https://openaitools.app/tool/promptbase.md) | | 7 | [fast.ai](https://openaitools.app/tool/fast-ai) | 250,720 | -10.4% | Free | Free practical deep learning courses, research and open-source libraries | [.md](https://openaitools.app/tool/fast-ai.md) | | 8 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Free open course for prompt engineering and AI security | [.md](https://openaitools.app/tool/learn-prompting.md) | | 9 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Community hub for data science, machine learning and AI practitioners | [.md](https://openaitools.app/tool/ods-ai.md) | | 10 | [ChatGPT Shortcut](https://openaitools.app/tool/chatgpt-shortcut) | 84,028 | -9.9% | Free | Delivers organized copy-ready prompts with tag filtering, but does not support community-driven chatbot personas or direct chat. | [.md](https://openaitools.app/tool/chatgpt-shortcut.md) | --- Source: https://openaitools.app/compare/flowgpt-vs-machine-learning-at-scale More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)