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Products that do what Ask Steve Chrome Extension – Get AI help where you work does
Hi HN! When I was the Product Management lead for HR Tech at Google, I thought there were several opportunities to integrate LLMs into our tools to make employees more efficient. Managers could get summaries of peer reviews, recruiters could quickly generate personalized outreach letters to candidates, etc. But I had 3 big problems: 1. Third Party Systems: A lot of work happens in Salesforce, Workday, SAP, etc. And we had no way of modifying that code to integrate what we wanted. 2. Legacy Systems: A lot of the tools in our portfolio were oooold, and nobody really wanted to go in and mess…
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I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…
2025 · ai.jakegaylor.com
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Hey HN! When I started looking into LLMs and agents for software development and introducing them at work, I quickly realised that a person new to the topic faces a real barrage: - all the hype (AGI, engineers getting replaced by AI etc.) - conflicting opinions in virtually every discussion—for every person saying they’ve 10x-ed their productivity, there is a comment decrying LLMs as an utter failure - a lot of jargon (MoE, MCP, RAG, distillation, quantisation etc. etc.) - a profusion of models, IDEs/IDE extensions, CLI agents, other tools etc. Sorting through all of this can be quite…
2025 · nohypeai.dev
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At testup.io we have been working for a while to bring artificial intelligence to the field of test automation. Just a few years ago, the primary challenge laid in accurately identifying UI elements following minor structural changes, such as updates to IDs or paths. The emergence of Large Language Models (LLMs) raised the bar for what it meant to be smart. Now, we anticipate the robot to do lots of things autonomously, such as retry in cases of unresponsiveness or handle minor error reports. A more challenging, but soon expected feature, would involve the test robot navigating your web shop…
2024 · github.com
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Looking for feedback on how Props can make your life easier as an LLM application developer.
2024 · wwww.getprops.ai
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Like many unemployed right now, I've been playing with LLMs and learning a lot. It's an exciting space right now, with many opportunities. So I curated over 100 companies in the space and joined all their opportunities (not only tech) in a single site. I believe it can be interesting for many people recently affected by layoffs and looking to restart in a market that is booming — for better or worse. Exploring the data about the market is also something that I'm starting to look into [1]. Companies can be added for free and get highlighted by sponsoring the site. I hope that someone out…
2023 · aijobnetwork.com
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Hi HN! I spent the last year traveling and feeling purposeless after shutting down my last startup (Zage YC S’21) in Dec 2022. There were some obstacles I couldn’t overcome and decided to return investors 50% of their capital. To afford (and justify to myself) traveling, I started consulting as an engineer and product designer. I started (https://backspace.nyc) and it was a good time. I (and some friends) built a handful of AI experiences and learned a lot along the way. The hardest thing about running a services business shipping and selling AI experiences powered by LLMs was…
2024 · loom.com
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So hard to keep up with tooling and MLOps - I put it all in one place and got some tips from an experienced friend on what to use.
2025 · readyforagents.com
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I found myself building a bunch of LLM-backed features that needed to use tool calling, and some of those tools involved doing things that were somewhat high stakes - communicating on my behalf or modifying shared / production data. one example - I wanted to replace a marketing website with a chatbot + vector DB loaded with the previous content, docs, and blog posts. Between hallucinations, missing knowledge base info, and the LLM generally writing like an psuedo-intellectual high schooler, I realized I couldn't trust it to communicate unsupervised with my website visitors. I needed a…
2024 · github.com
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Hey HN! First post btw I want to share a product we are developing right now. It's a thing to gather your data from LinkedIn, GitHub, StackOverflow (and a couple more things in the future) and we obviously use LLMs under the hood :D So the idea of using it is that you don't need to share 69 links and docs and can use one link (or download PDF) now. When you connect all the stuff you will see your profile with a radar chart, which represents your "domains". The next thing will be a section with ai-generated-summary-bio + section with things you're open to. Then a section with work experience…
2024 · hackerpulse.io
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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
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I have worked with AI assistants for a while, and while I am really excited about it, there were times when I felt really frustrated. LLM would end up in a loop with no end. This is when I started experimenting with creating work plans. Initially simple todo list, but it felt like "product vibing", so a bit more sophisticated later on. I started seeing value in it. The one day it hit me. Why not use the same GitOps principles to managing product tickets? I started playing with that and really liked the way it worked. After a chat with a friend of mine, I realised that a standard or a spec…
2025 · productascode.org
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Hey HN, I'm a founder at Ovlo a supply chain company.I had a problem. After every batch of customer interviews/research/feedback sessions, I'd run ideas through an LLM to help me decide what we should build next. Except it was obvious to my cofounder I wasn't really validating anything. LLMs are incredibly good at agreeing with you in subtle ways, especially when you feed them context that already reflects your thoughts. I'd ask "Does this make sense?" and get a beautifully worded essay about why yes, obviously, this is the best thing ever. I was using AI as an echo chamber without…
Dec 2025 · roundtable.ovlo.ai
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Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
2024 · viewpointhq.com
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Ask Steve unlocks the power of LLMs like ChatGPT and Gemini in every web page. It's like Github Copilot but for everyday work in the browser. - Create reusable prompts (“Skills”) that can be used on any web page or text selection. Over 100 are included. - Right click on any page or text-selection to run a Skill on it - Chat with any page to quickly get summaries, extract key information or run a Skill on it - Get help writing, rewriting and editing in any text field with Skills for content creation & editing - Add AI buttons to any web page that enable you to trigger a Skill with 1-click.…
2024 · chromewebstore.google.com
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A few months ago I was working on a flight search engine that would include pet transport costs (I know a few by hearth but storing them and make the calculations in the UI would be nice) While I was collecting pet pricing from several airlines I strugled to extract data in a common format without hallucinated values. That's when I thought: What if I use multiple LLMs and take the most common response to improve accuracy? This idea became this new project. You provide your documents, an SQLModel schema, an LLM provider, plus what you'd like to extract and Extrai does the rest. Including…
Nov 2025 · github.com
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So I spent the last few days building Jobstack. The logic is quite simple. You apply to jobs and you get emails, you trade emails back and forth from interviews, questions and others until the role is either accepted or you are rejected. Also easy to apply to hundreds of roles and not being to know where you stand easily. With Josbtack, you sign up, get a unique email and forward emails to the url. And it uses LLMs to extract company details , tries to find information online about them and presents that to you. Every email you forward becomes part of your timeline with the company. It also…
2025
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Hey HN! I develop browser extensions, I suck at web design, and I've been exploring AI/LLMs. With my new found free-time since dropping work hours, I've developed a Design Copilot browser extension [0]. It does what it says on the tin - you choose a part of your website and the tool gives you instant expert design feedback - "change this font to that, add this much whitespace, use brighter colours .... etc" The tool is completely 100% free to use, its powered by bringing your own AI API Key, and the current LLM it uses is Google Gemini 1.5 Pro. I've yet to hit the free rate-limit and I…
2024 · old.reddit.com
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We made human-use. Similar to how browser-use connects agents to the web, human-use connects agents to people all over the world in real-time using the Rapidata API. This allows the LLM to crowdsource human feedback and insights when it deems necessary. Free to use for anyone, you can enable your agent to use humans in real-time to: - Do preference research - Check for hallucinations - Capture sentiment - Get feedback - etc. Whatever you would want from humans. We expose certain parts of the Rapidata API to the agent through the MCP server framework. Additionally we provide a custom client.…
2025 · github.com
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Hello HN Community! I’m Gaurav Sharma, founder, and CEO of SaaS Labs, a multi-product platform for sales and support reps. You may recognize us from our flagship product JustCall, the modern cloud phone & workflow automation system for sales and support teams. Now after helping 6000+ businesses to handle tens of millions of calls using our tech, we’re onto the next big challenge. Reinventing how people look at Sales Training. Let's face it; most sales training right now is pretty terrible. From mock pitches to roleplaying calls, it takes hours and hours from your sales leader’s time and…
2022
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