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GetsFlow
AI-workflows.io
Flow.ai
GetsFlow is an AI Business Operating System built in Ankara, Turkey, designed to help companies turn complex business processes into custom software through conversation.
At the core of GetsFlow is Tessera AI, our AI Business Architect. Instead of forcing companies to adapt their workflows to rigid, one-size-fits-all ERP software, Tessera adapts the software to the company.
A business can describe its operations, requirements, roles, workflows, and problems through a guided conversation. Tessera then discovers the underlying business processes and builds the required software around them โ including modules, dashboards, forms, workflows, data structures, and AI-powered capabilities.
What makes Tessera different is the engineering layer behind the experience. Our 2-step human-in-the-loop discovery process helps ensure that AI understands the business before generating the system. Generated applications run through a restricted browser-side TSX sandbox, allowing custom interfaces and business logic to be compiled safely without exposing the underlying environment.
Tessera also includes an autonomous self-healing loop designed to detect and correct code-generation drift, allowing generated applications to continuously recover from implementation errors instead of requiring developers to manually fix every issue.
GetsFlow is already backed by a high-security defense industry client, where reliability, security, and complex workflows are not theoretical requirements โ they are real production constraints.
We are completely bootstrapped and building GetsFlow for companies that need software tailored to the way they actually operate.
Our vision is simple: stop forcing businesses to fit their processes into software. Let AI build the software around the business.
Hugging Face GetsFlowNo features have been listed yet.
GetsFlow's answer:
GetsFlow's answer:
GetsFlow is built with Next.js, React, TypeScript, and Supabase, with Tessera AI powering conversational business discovery and dynamic TSX application generation. The platform also uses sandboxed browser-side compilation and autonomous code validation and self-healing mechanisms.
GetsFlow's answer:
GetsFlow was born from a simple observation: businesses are often forced to change their processes to fit rigid software. We wanted to reverse that relationship. Built and bootstrapped in Ankara, Turkey, GetsFlow evolved into an AI Business Operating System powered by Tessera AI, enabling companies to explain how they operate and have their own software built around those processes.
GetsFlow's answer:
Our primary audience is mid-sized and enterprise companies with complex, industry-specific workflows that are difficult to manage with generic ERP or SaaS products. GetsFlow is especially suited for manufacturing, heavy industry, defense, and other organizations that need highly customized and reliable business software.
GetsFlow's answer:
GetsFlow replaces the traditional approach of adapting a business to software. With Tessera AI, companies can describe their processes in natural language and have a custom business system built around their needs. It combines AI-driven discovery, TSX application generation, secure sandbox execution, and autonomous self-healing into one platform.
GetsFlow's answer:
GetsFlow is an AI Business Operating System that builds custom enterprise software around how a company actually works. Its core engine, Tessera AI, discovers business processes through conversation and then generates the required modules, workflows, dashboards, and applications instead of forcing businesses into rigid ERP templates.
Based on our record, Hugging Face seems to be more popular. It has been mentiond 329 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Download from Hugging Face with a single command. Models come in different quantization levels (compression trade-offs). A 4-bit quantized version is roughly 4x smaller than the full-precision version, with minor quality loss. For most team use cases, the quantized versions are the practical choice because they fit in less GPU memory. - Source: dev.to / 8 days ago
There are a couple of options. One good way to find inference providers for open models is through hugging face (https://huggingface.co). You can select a model and see which inference providers serve it. You can even access it through hugging face. If you just wanted to test a model or have super light work you can get some free access to alot of open source models through nvidia (https://build.nvidia.com). There... - Source: Hacker News / 12 days ago
Both the base and instruct variants of Aether-7B-5Attn, plus a live interactive demo, are publicly available on Hugging Face. Search for VIDRAFT or Aether-7B-5Attn on huggingface.co to find the model cards and repository. - Source: dev.to / 22 days ago
Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / 2 months ago
Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed โ which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / 3 months ago
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