Show HN: Combine/Join multiple CSVs just by talking to our Spreadsheet https://ift.tt/FmOKY41

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/cuQ86zn

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

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

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/wUqHdDI ). 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/AtKdlLq 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/wrI1cVm October 31, 2024 at 10:57PM

Show HN: Costco for LLM Tokens https://ift.tt/L6XFP9R

Show HN: Costco for LLM Tokens https://inference.net/ October 31, 2024 at 02:50AM

Show HN: Routing24 – Free route optimization in the browser https://ift.tt/0v6pYzo

Show HN: Routing24 – Free route optimization in the browser Hi HN! I built Routing24 to make route optimization easier and accessible for small businesses and solo drivers. With Google Maps, you can plan routes between a few locations for free, but it doesn’t support efficient multi-stop planning, handling multiple vehicles, or adding specific business rules like delivery time windows. Many tools offer route optimization for around $30 per vehicle per month, but Routing24 provides it completely free. Optimization happens fully on the client-side, using your device’s resources instead of cloud servers. The interface is simple for now: you can import/export using Excel, and there’s a web UI to edit and view imported data and optimized routes. Data is saved or uploaded anywhere, and one browser tab runs one optimization. Map data comes from OpenStreetMap, and the solver is built in C++/WASM, using public domain algorithms. I’d love to hear any feedback as I keep developing it. Thanks, and I hope it’s useful! https://routing24.com October 30, 2024 at 08:06PM

Show HN: LlamaPReview – AI GitHub PR reviewer that learns your codebase https://ift.tt/NlZD0Ru

Show HN: LlamaPReview – AI GitHub PR reviewer that learns your codebase I built LlamaPReview to solve a common frustration: most AI code reviewers either require complex setup or don't truly understand project context. Key differentiators: 1. One-click installation through GitHub Marketplace - no configuration needed 2. Analyzes your entire codebase first to understand: - Project structure - Coding patterns - Naming conventions - Architecture decisions 3. Completely free with no usage limits 4. Fully automated PR reviews with zero human intervention required Technical implementation: - Built on top of llama-github (my open source project) - Focuses on deep code understanding rather than superficial linting - Provides context-aware suggestions with explanations The goal is to handle routine reviews automatically so developers can focus on complex architectural decisions. Currently in production and processing real PRs. Try it for free: https://ift.tt/ZieQUGn Looking for feedback from the HN community, especially on: - What features would make this more useful for your workflow? - How do you currently handle code review automation? - What aspects of code understanding matter most to you? https://ift.tt/NnhmfbJ October 30, 2024 at 09:46PM

Show HN: GPT powered Discord bot that summarizes mental health research daily https://ift.tt/vxwkS1P

Show HN: GPT powered Discord bot that summarizes mental health research daily I created an open-source Discord bot that uses GPT-4 to aggregate and summarize the latest developments in mental health research, computational neuroscience, and precision psychiatry. It scans news sources daily and delivers concise summaries to Discord. I would look feedback on integrating additional sources for this purpose or any suggestions on prompt engineering https://ift.tt/Rkhyr9B October 30, 2024 at 10:25AM

Show HN: I built PixSpeed to optimize website images for free https://ift.tt/l1NFzwf

Show HN: I built PixSpeed to optimize website images for free https://pixspeed.com/ October 30, 2024 at 04:27AM

Show HN: Built MRRTracker in 4 Days, Hit #4 on Product Hunt, Seeking Feedback https://ift.tt/oi2Pt6l

Show HN: Built MRRTracker in 4 Days, Hit #4 on Product Hunt, Seeking Feedback https://ift.tt/M2opT73 October 30, 2024 at 01:12AM

Show HN: Let's Play (Voice AI) Ball – A Baseball Strategy Game https://ift.tt/wGK50Y3

Show HN: Let's Play (Voice AI) Ball – A Baseball Strategy Game My 8 year old son is obsessed with baseball. It’s unfortunate because 1) I deeply love lacrosse (I was the leading scorer my sophomore year for UC Davis! Never miss an opportunity to say it!), 2) I don’t know much about baseball, and 3) he’s a diehard Yankees fan. Although I can’t do anything about his team affiliation or the current 3-0 Yankees deficit in the 2024 World Series, I can do something about teaching him baseball strategy -- despite knowing little about baseball myself. I built this Voice AI game for him to learn more about baseball strategy. In the game, the Voice AI describes a baseball scenario, and the caller has to describe what the defensive player should do. To try it out, call (530) 203-8359. While my son is obsessed with baseball, I’m equally obsessed with Voice AI. Voice AI is eating the world. We’re seeing Voice AI consume pre-existing call volume (e.g., lead qualification calls, customer surveys, medical appointment setting) and creating a deluge of new call volume enabled by the Voice AI medium (e.g., role playing for professional development ( https://solidroad.com/ ), an AI that introduces you to people with similar interests ( https://www.boardy.ai/ ), and, yes, voice-first baseball games to make you feel like a better dad). If you’re building in Voice AI and are as enthralled with Voice AI as me, check out what we’re building ( https://ift.tt/9Dc654B ) when we’re not building fun voice-enabled AI applications. We love meeting other people in Voice AI and helping them improve their Voice AI agents! Tom https://ift.tt/bCa0NpD https://ift.tt/WSjKct0 October 30, 2024 at 02:13AM

Show HN: Saasdoor – Glassdoor for Enterprise SaaS price parody https://ift.tt/I0tChEc

Show HN: Saasdoor – Glassdoor for Enterprise SaaS price parody https://saasdoor.org October 29, 2024 at 01:35AM

Show HN: Trench – Open-source analytics infrastructure https://ift.tt/KRroPwI

Show HN: Trench – Open-source analytics infrastructure Hey HN! I want to share a new open source project I've been working on called Trench ( https://trench.dev ). It's open source analytics infrastructure for tracking events, page views, and identifying users, and it's built on top of ClickHouse and Kafka. https://ift.tt/TirJE6A I built Trench because the Postgres table we used for tracking events at our startup ( http://frigade.com/ ) was getting expensive and becoming a performance bottleneck as we scaled to millions of end users. Many companies run into the same problem as us (e.g. Stripe, Heroku: https://ift.tt/dKfEr1P ). They often start by adding a basic events table to their relational database, which works at first, but can become an issue as the application scales. It’s usually the biggest table in the database, the slowest one to query, and the longest one to back up. With Trench, we’ve put together a single Docker image that gives you a production-ready tracking event table built for scale and speed. When we migrated our tracking table from Postgres to Trench, we saw a 42% reduction in cost to serve on our primary Postgres cluster and all lag spikes from autoscaling under high traffic were eliminated. Here are some of the core features: * Fully compliant with the Segment tracking spec e.g. track(), identify(), group(), etc. * Can handle thousands of events per second on a single node * Query tracking data in real-time with read-after-write guarantees * Send data anywhere with throttled and batched webhooks * Single production-ready docker image. No need to manage and roll your own Kafka/ClickHouse/Nodejs/etc. * Easily plugs into any cloud hosted ClickHouse and Kafka solutions e.g. ClickHouse Cloud, Confluent Trench can be used for a range of use cases. Here are some possibilities: 1. Real-Time Monitoring and Alerting: Set up real-time alerts and monitoring for your services by tracking custom events like errors, usage spikes, or specific user actions and sending that data anywhere with Trench’s webhooks 2. Event Replay and Debugging: Capture all user interactions in real-time for event replay 3. A/B Testing Platform: Capture events from different users and groups in real time. Segment users by querying in real time and serve the right experiences to the right users 4. Product Analytics for SaaS Applications: Embed Trench into your existing SaaS product to power user audit logs or tracking scripts on your end-users’ websites 5. Build a custom RAG model: Easily query event data and give users answers in real-time. LLMs are really good at writing SQL The project is open-source and MIT-licensed. If there’s interest, we’re thinking about adding support for Elastic Search, direct data integrations (e.g. Redshift, S3, etc.), and an admin interface for creating queries, webhooks, etc. Have you experienced the same issues with your events tables? I'd love to hear what HN thinks about the project. https://ift.tt/j0BYkNb October 25, 2024 at 07:37PM

Show HN: Finstruments - Financial instrument library built with Python https://ift.tt/ORdz59J

Show HN: Finstruments - Financial instrument library built with Python finstruments is a Python library designed for modeling financial instruments. It comes with the core financial instruments, such as forwards and options, out of the box, as well as position, trade, and portfolio models. finstruments comes with the basic building blocks, making it easy to extend and build new instruments for any asset class. These building blocks also provide the functionality to serialize and deserialize to and from JSON, enabling the ability to store a serialized format in a document database. This library is ideal for quantitative researchers, traders, and developers who need a streamlined way to build and interact with financial instruments. https://ift.tt/iPIKD4m October 28, 2024 at 10:48AM

Show HN: I built EstateLead AI – lead generator boosting agent productivity 10x https://ift.tt/n1Dk0dH

Show HN: I built EstateLead AI – lead generator boosting agent productivity 10x As a former real estate agent, I discovered a critical pain point in early 2023. Every day, I spent 3-4 hours manually copying leads from Zillow - phone numbers, emails, and property details. This tedious process was stealing valuable time I could have spent with clients. I realized this wasn't just my problem. Thousands of agents were stuck in this same time-consuming routine, manually gathering leads one by one. There had to be a better way. Over the next a months, I faced numerous challenges building EstateLead AI: - Ensuring reliable data extraction - Maintaining compliance with data privacy regulations - Creating an intuitive interface for non-technical users - Scaling the system to handle thousands of requests After countless iterations and feedback from 50+ beta testers, I'm excited to launch EstateLead AI with these key features: Key Features: - One-click lead extraction from Zillow listings - Up to 18,000 leads per month with phone numbers - Export to Excel/CSV for easy CRM integration - Coverage for both US and Canadian markets - Built-in compliance with data protection rules - Simple browser extension interface The tool has already helped 600+ agents save 40+ hours per week on lead generation. Early users report a 10x increase in their prospecting efficiency. I'd love for the HN community to try it out and share your thoughts. What features would make this even more valuable for real estate professionals? Try it here: https://ift.tt/FSvsxn0 P.S. First 100 users get 40% off (19 spots remaining), and we offer a 60-day money-back guarantee. https://ift.tt/FSvsxn0 October 27, 2024 at 03:02PM

Show HN: Decentralized Twitter clone built on Ethereum blockchain https://ift.tt/HEnOPuy

Show HN: Decentralized Twitter clone built on Ethereum blockchain https://ift.tt/IDMOsAa October 27, 2024 at 07:11PM

Show HN: Mahjong Dark Dimensions: Mahjong Dimensions Game Online https://ift.tt/Cyqp6Sw

Show HN: Mahjong Dark Dimensions: Mahjong Dimensions Game Online Mahjong Dark Dimensions is a captivating mahjong puzzle game set in a mysterious and dark dimension. Solve the puzzles and uncover the secrets of the dimension. https://ift.tt/MkqpWi1 October 27, 2024 at 12:25PM

Show HN: AI agents working together in a virtual podcast studio. NotebookLM alt https://ift.tt/693SALl

Show HN: AI agents working together in a virtual podcast studio. NotebookLM alt Made this project in a couple of weekends after playing around with NotebookLM and seeing the hype for more projects like this. Let me know what you think! https://ift.tt/60Bym78 October 27, 2024 at 12:06PM

Show HN: Mdx – Execute your Markdown code blocks, now in Go https://ift.tt/b7TtLpc

Show HN: Mdx – Execute your Markdown code blocks, now in Go Hey HN! I recently came across makedown here on HN and loved the concept. Wanting to learn Go, I thought this could be a great starter project - so I started working on my own Go implementation, which I’m calling mdx ( https://ift.tt/yTxzahO ). Key Features: - Define dependencies between commands - Supports shebangs - Ability to pass arguments to code blocks Would love feedback and thoughts! Ref. makedown: https://ift.tt/7vCjTgs . Thanks for the idea! :) https://ift.tt/yTxzahO October 26, 2024 at 11:04AM

Show HN: I built a paragraph rewriter that runs 100% in the browser https://ift.tt/iqCVydJ

Show HN: I built a paragraph rewriter that runs 100% in the browser https://ift.tt/lsM8gBq October 26, 2024 at 07:59PM

Show HN: Jist searches JSON 3x faster than jq https://ift.tt/dNwUuKt

Show HN: Jist searches JSON 3x faster than jq Hi HN, jist is a JSON path search tool that feels like accessing a JavaScript object. It’s 3x faster than jq for the same use case, and over 2000x more memory efficient when searching a 3.3GB file for the last element (jist reads data in chunks so has constant space use). It doesn’t implement pattern matching yet. A feature I’m looking to add is generating a full JSON schema using the same streaming approach so stay tuned! Any feedback and feature requests are more than welcome https://ift.tt/MwHirhx October 26, 2024 at 06:55PM