AI · alternatives · 2026

24 alternatives to folio

hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
Why write code if the LLM can just do the thing? (web app experiment)▲436
I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Nov 2025 · github.com · its alternatives →
2
OpenSheet▲86
Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main things/issues: Why can't the AI also change cells in the file we give to it? Why can't we modify this grid ourselves? So besides the whole READ and text-to-SQL flows, what seemed…
Feb 2026 · opensheet.app · its alternatives →
3
PromptTools – open-source tools for evaluating LLMs and vector DBs▲211
Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…
2023 · github.com · its alternatives →
4
PrompTessor▲125
After countless hours of solo coding, designing, and iterating, I’m both excited and nervous to share my first-ever product: PrompTessor — now live. As someone who constantly experiments with AI tools like ChatGPT and Midjourney, I often found myself stuck in a loop of trial-and-error. The issue wasn’t always the AI — it was often the prompt itself. That observation became the starting point for PrompTessor. This tool doesn’t just optimize your prompt — it analyzes it. It gives you: - A prompt score - A breakdown of strengths and weaknesses - A fully optimized version of your prompt - And…
2025 · promptessor.com · its alternatives →
5
I just open sourced my document/website extractor for Vision-LLMs▲37
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
6
Trails▲81
Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app · its alternatives →
7
MySheet.ai▲10
Hi HN, I've been tinkering/building AI applications that require interaction with spreadsheets (Excel / Google Sheets). Realized that LLMs don't work off-the-shelf when it comes to producing correct, reliable output for spreadsheets, regardless of how you wish to encode it (JSON, markdown, XML, etc.) After prompting, fine-tuning LLMs to work for my applications, decided to expose the functionality as an API to this community. Eager to see if it is helpful/of interest to others. Let me know if you need an invite.
2025 · parseclabs.ai · its alternatives →
8
Comet LLM - Open-source prompt management and analytics▲19
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. - comet-ml/opik
2024 · github.com · its alternatives →
9
Promptr for AI▲32
The context manager and skills library for marketing teams
Apr 2026 · promptr.ai · its alternatives →
10PP
Promptly – Prompt Management Platform for LLM Apps▲15
We are excited to show Promptly (https://trypromptly.com), a prompt management platform for LLM apps that makes it easy to experiment, share and manage prompts in production. With Promptly, users can: - Try out different prompts and model parameters for various providers - Quickly share prompt snippets together with parameters and generated output. Think of it as CodePen or JSFiddle for prompts - Create high level endpoints on top of provider APIs (Open AI, DreamStudio etc) with templated and versioned prompts - Use built-in caching for endpoints that will help save on Open AI…
2023 · trypromptly.com · its alternatives →
11
Promptix ▲2
Hey HN, I built this for my own workflow: too much time lost copying text from Notes/Slack/etc. to ChatGPT/Claude and back. Wanted a simple way to query LLMs without leaving the app. Promptix is a small Mac app that triggers on a hotkey for any selected text: - Translate - Fix grammar - Rewrite/improve - Summarize - Text as prompt - Custom prompts (e.g., "Convert bug report to PR description") Key features: - Works in any app: browsers, IDEs, terminals, etc. - Bring your own key: OpenAI, Anthropic, or any OpenAI-compatible (including local like Ollama). No limits or costs…
Feb 2026 · promptix.app · its alternatives →
12
app for interaction with documents using local LLM (mini Chat With RTX)▲19
Hello HN! I wanted to share a side project of mine: a fully standalone app that uses a local LLM (specifically Mistral 7B) for document interaction using RAG. It supports a wide variety of document types and is designed to run right after installation. There are still quite a few bugs to iron out and many features I'm excited to add. Considering this is my first time working on such a project, I'm really happy with the progress and am learning a ton! The project is open source, so I please feel free to check out my work and leave any feedback :)
2024 · github.com · its alternatives →
13HP
Horizon – Programmatic Prompt Generation and LLM Configurations▲7
Hi HN. I heard you like dev tools and AI, so we wanted to share our project that we’ve been working on. We’re working on Horizon [1] - a higher level abstraction for LLMs so that developers can spend less time trying to grapple with LLMs to make them work and more time with users. This is the starting feature set which takes an auto-ML approach to identify the optimal LLM model, hyperparameters, and prompt - instead of just giving you the tooling to figure it out yourself. You can read more about it in our documentations. Our view is that as LLMs become increasingly commoditized and prompts…
2023 · gethorizon.ai · its alternatives →
14IM
I made a free (open-source) extension, to use any LLM on Google sheet▲14
Hello everyone, This past Saturday, I decided to make purchase on Cursor after hearing how good it is with Composer function that allow to generate code on fly, especially on Claude Sonnet (not an affiliate of the products, just curious!). To make the purchase worthwhile, I challenged myself to build a Google Sheets extension in just 24 hours that allows users to connect with any Language Model (LLM)—whether it’s ChatGPT, Claude, Groq, or Gemini. The Idea The idea was simple: a formula like =Claude(prompt, model) that lets users integrate AI anywhere in their sheets. The most impressive…
2024 · aisheeter.com · its alternatives →
15
Promposer.AI▲10
Recently I found myself spending too much time testing edge cases when building LLM agents. Re-running the same case over and over again really kills the vibe and takes the fun out of building. As Andrej Karpathy (and others) have said, it should really be called “context engineering” rather than prompt engineering. Writing instructions is the easy part. The hard part is providing the right context and tools while staying within context window limits. And evaluation is the slowest step. That’s the main purpose of Promposer: to handle evaluations for you, so you can focus on improving prompts…
2025 · promposer.ai · its alternatives →
16
Ergonomically call LLM in bulk from CLI▲7
Hi! I've found myself repeatedly writing little scripts to do bulk calls to LLMs for various tasks. For example, run some analysis on a large list of records. There are a few "gotchas" to doing this. For example, some service providers have rate limits, and some models will not reliably return JSON (if you're asking for it). So, I've written a command for this. What I've tried to do here is let the user break up prompts and configuration as they see fit. For example, you can have a prompt file which includes the API key, rate limit, settings, etc. all together, or break these up into…
2025 · github.com · its alternatives →
17
Docsumo – Automate invoice data capture and validation▲10
Go from rule-based OCR to LLM-led intelligent document processing workflows in the Agentic AI era with Docsumo. Built for enterprise accuracy and ROI.
2019 · docsumo.com · its alternatives →
18IB
I built a tool that generates quizzes from documents using LLMs▲10
Hey everyone! I recently built this little side project that takes any document you upload and turns it into practice quizzes using LLMs to generate the questions: https://www.cuiz-ai.com Being a backend engineer, I have always struggled to finish my side projects due to my awful frontend skills. Now, with the progress of AI coding tools, I had no more excuses. 100% of the frontend, landing page and even the logo was made using a combination of Cursor, ChatGPT and Claude, but it's always been under my supervision and never blindly accepted the proposed changes. The backend and…
2025 · its alternatives →
19AT
A tool to help you write more reliable prompts▲11
Hey HN! While writing prompts for a few projects recently, a couple of friends and I realised that writing prompts today is like writing code in a txt file - it sucks and there is no tooling to help you. So we decided to hack on a tool to help you fix this - https://optimist.varied.ai/ It is literally a hack rn but we already find it useful for writing prompts. That said we'd love to talk to folks who are writing serious prompts everyday and see how the product can be better. Also the only reason the waitlist is there, is running this is super expensive like $100/day for…
2023 · optimist.varied.ai · its alternatives →
20
PromptMage – Simplify and Manage Your LLM Workflows▲10
Hello HN community, I'm excited to share a project we've been working on called PromptMage, an open-source tool designed to simplify the process of creating and managing complex workflows for large language models (LLMs). Backstory As developers and researchers working with LLMs, we found ourselves constantly grappling with the challenges of prompt iteration, testing, and version control. Existing tools didn't quite fit our needs for an integrated, intuitive workflow management solution. So, we decided to build one. PromptMage was born out of a desire to streamline these processes and make…
2024 · promptmage.io · its alternatives →
21KY
Keep your AI agents up to date with latest docs▲5
Hey HN! I wanted to practice "vibe coding" and see how far and fast I can go by only prompting, without actual coding. I decided to make a simple CLI app that scrapes web docs into a single md file (I was annoyed that LLM keeps writing Tailwind 3 code for a Tailwind 4 project). In just a couple of hours, the CLI app was ready! Then iterated on arguments for another couple of hours. Result: https://github.com/vladstudio/web2llm Then I decided to go further and "productize" the CLI by making a web app for it. Another half-day, and the web app is ready!…
2025 · web2llm.dev · its alternatives →
22
Aiaiai.guide: Plain-English mental model for LLM apps, tools and agents▲7
I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide · its alternatives →
23
I built an open-source “unit testing” suite for prompts ⮂ inputs▲5
Hi HN, I'm pleased to share Promptspot, an open-source (Apache License 2.0) project that helps automate testing of large language model (LLM) prompts against an array of input data. Modern LLMs offer an enormous amount of leverage if you "teach the bot to fish" — i.e. simply prompt it with both a "system prompt" (which typically doesn't change often) and a dynamic input, which is often application state, search results, recent activity, user profile data, etc. Existing playgrounds and prompt management systems often lack the rigor and flexibility required for this dynamic approach — and as…
2023 · github.com · its alternatives →
24
i built an AI code reviewer for github (used it on itself during dev)▲6
I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…
2025 · codii.dev · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →