Show HN: Super Simple CRC32 Implementation https://ift.tt/9a5hWlw

Show HN: Super Simple CRC32 Implementation I written this as a little programming exercise in C https://ift.tt/Z37ErlS October 29, 2024 at 08:12PM

Show HN: GraphQL Zeus 7 – type-safe GraphQL on front end for newbies https://ift.tt/hm1qDJy

Show HN: GraphQL Zeus 7 – type-safe GraphQL on front end for newbies Ok, so I've heard the voice of community and added null support and dropped const enums. Also you can fetch all scalar fields with "fields" selector. https://ift.tt/fKqCkpt November 2, 2024 at 07:15PM

Show HN: Autotab Instruct – Claude Computer Use with Guardrails for Reliability https://ift.tt/x18f9nr

Show HN: Autotab Instruct – Claude Computer Use with Guardrails for Reliability Hi HN, We’ve built a desktop app to create highly reliable AI agents that use a computer with mouse and keyboard. Until last week, we had tried many different approaches to open-ended agentic features but none of them had met our reliability bar. With Anthropic’s Computer Use this finally changed, and we just shipped a feature we’re calling Instruct. Instruct allows users to create agentic blocks as part of a larger Autotab skill that provides the structured logical flow to keep the automation on track. If you haven’t had a chance to try Computer Use yet, it is an impressive leap from the last generation of vision models (e.g. gpt4o struggles with relative positions, let alone coordinates). At the same time, it is still not good enough to be given a prompt and let loose. One of the big surprises to us early on was just how much intent specification is required for most real world workflows to run reliably. What looks at first like a simple form filling task usually turns out to have dozens of edge cases and super specific, hidden rules. Even human employees need to be shown how to perform these tasks, and then refined with question-asking + feedback over time. We wanted to build a tool for specifying intent, and iterating with the model to make it reliable enough for real work. - Automations run on top of an action scaffold, which works kind of like a very fuzzy programming language with strict types. This gives the model a high level plan that guides execution, and makes it easy to break out discrete steps to get the reliability you need. (Interestingly, this has also proven useful not just for the agent, but also for the human trying to create, verify and edit the automation.) - When the model is unsure it asks for clarification. For example, if you are in editing mode and the model thinks that an element looks meaningfully different than before, it will ask you to verify that it is the same element. - The agent has access to a memory system that lets it recall information from past runs as well as instructions and feedback from the user. Here's a short video of Autotab Instruct in action: https://ift.tt/hImULow?... . There are a few more demos at https://twitter.com/autotabai/status/1852393973165199425 a75f06f82cab521bc78672ed35d85e8a. We’d love to hear what you think! November 1, 2024 at 10:26PM

Show HN: I created a minimalist pastebin clone using Go, Htmx, and PostgreSQL https://ift.tt/VjSGYOI

Show HN: I created a minimalist pastebin clone using Go, Htmx, and PostgreSQL https://ift.tt/b51hLYx November 1, 2024 at 07:56PM

Show HN: Combine/Join multiple CSVs just by talking to our Spreadsheet https://ift.tt/EHijRXd

Show HN: Combine/Join multiple CSVs just by talking to our Spreadsheet VLOOKUP is dead. Long live AI. This demo shows how to combine two CSV datasets just by talking to our (actual) spreadsheet. Check out the video: https://youtu.be/irdXF9ioiB8 Try it out! https://sourcetable.com https://www.youtube.com/watch?v=irdXF9ioiB8 November 1, 2024 at 03:59AM

Show HN: Mail2github – commit something to GitHub via email https://ift.tt/6ek50Om

Show HN: Mail2github – commit something to GitHub via email https://ift.tt/SEcObQe November 1, 2024 at 02:02AM

Show HN: Shimmer – ADHD-adapted body doubling https://ift.tt/gbRhVqO

Show HN: Shimmer – ADHD-adapted body doubling I’m Chris, one of the co-founders of Shimmer. In 2022, following my ADHD diagnosis, I launched Shimmer ( https://shimmer.care ), a 1:1 ADHD Coaching for adults (HN launch here: https://ift.tt/OEn7vfj ). One problem we discovered while running 1:1 coaching is that people weren’t able to actually follow through (in real life) on the ideas they came up with during their weekly sessions with their coach. There is a concept called body doubling that’s popular within the ADHD community—it’s basically getting things done in the presence of other people. The positive accountability is proven to work. However, our members told us they tried other body doubling solutions or attempted to organize it themselves in real life but none of the solutions stuck. So we reverse engineered productive moments our members described, paired with scientific backing of what motivates ADHD-ers, and designed an online body doubling experience for our coaching members that provides a safe but productive space for them to get things done between weekly sessions. A few of the motivators we infused into the traditional body doubling experience were 1) newness/novelty — each session has a different guided experience in the break like breathwork or stretching, 2) urgency — there’s a large visible pomodoro timer on the top left that counts down from 25 min, 3) community — the shared space is ADHD-friendly, and has a mood check-in & sharing functionality built in so you don’t feel alone, 4) accountability — there’s a task list where each time you check something off, it notifies the group, and you can view others’ as well if they opt in. Here’s a video walking through the product experience: https://ift.tt/Kck3lp8 Our body doubling was created and iterated alongside thousands of people with ADHD on our coaching platform over 9+ months of building & iterating with them. We’re excited to unveil this experience. If you have ADHD (or executive functioning challenges), we’d love for you to check out coaching & body doubling and give us critical feedback. Shimmer’s pricing: $140/mo. for Essentials plan (15-min weekly sessions), $230/mo. for Standard plan (30-min weekly sessions), $345/mo. for Immersive plan (45-min weekly sessions); all plans start with an additional 25% off the first month, HSA/FSA-eligible. The reason why the price is so high is that this is not a self-guided app or SaaS tool. You’re matched with a real, credentialed coach (not AI) and since ADHD coaching is not reimbursed in the US, the price is hard for us to bring down because the largest cost component is the coach’s compensation. *We know these prices are still expensive for many people with ADHD. Here are the actions we’re taking: (1) we offer needs-based scholarships and aim to have 5% of members on them at any time, (2) we often run fully sponsored scholarships with our partners—over 60 full ride scholarships and 100 group coaching spots have been disbursed alongside Asian Mental Health Project, Government of Canada, and more, and (3) we have aligned our coaching model alongside Health & Wellness Coaching, which is expected to be reimbursed in the next years. If there are ways we can further drive down the cost, please reach out to me directly at chris@shimmer.care. https://ift.tt/WwEmaG2 October 31, 2024 at 10:57PM