Archive
Discover and discuss technology tools
Explore the Tiscuss archive by category or keyword, then jump into conversations around what matters most.
DAGraph: Local-First Reactive Graph for Data Analysis
DAGraph: Local First Reactive Graph for Data Analysis DAGraph is a cutting edge tool for data analysis that prioritizes local first approaches and reactive grap…
Micromort Risk Visualizer: AI Tool for Risk Assessment
Micromort Risk Visualizer: Transforming Health Risk Assessment with AI The Micromort Risk Visualizer represents a groundbreaking advancement in health risk asse…
Nibble AI Tool: Revolutionizing Data Analysis on Hacker News
Nibble AI Tool: Transforming Data Analysis on Hacker News The digital landscape is constantly evolving, and so are the tools that help us navigate it. Among the…
MerryDiv: Track Dividends Across All Brokerage Accounts
Title: Optimize Your Dividend Tracking with MerryDiv Simplify Dividend Management with MerryDiv Efficiently tracking dividends across multiple brokerage account…
Community Bank Exposes Customer Data to AI App
Community Bank, which operates in Pennsylvania, Ohio, and West Virginia, disclosed a cybersecurity incident that exposed customers’ names, dates of birth, and Social Security numbers.
Instructure Reaches Deal with Hackers After Two Breaches
The maker of the Canvas school software said it "reached an agreement" with the hackers, but provided no guarantees that the hackers would not release the data or keep their word.
U.S. Bank Data Leak: AI App Security Lapse
The bank said the security lapse was due to the use of an “unauthorized” AI software app.
AI Tool Lets You Explore Government UFO Files Like Microfilm
AI Tool Lets You Explore Government UFO Files Like Microfilm Exploring UFO Files Made Easy with AI A groundbreaking AI tool now allows users to search through g…
AI Tool Vizz.fm Revolutionizes Data Visualization
AI Tool Vizz.fm Revolutionizes Data Visualization The realm of data visualization is undergoing a major transformation with the advent of Vizz.fm. This cutting …
Uber's AI Push: Beyond Rides, Into Autonomous Vehicles
The company has been trying to embed itself inside the AV industry — as a data provider, an investor, and a distribution platform — but the consumer-facing bet may be just as important.
TikTok Launches Ad-Free Subscription in the UK
Users who sign up for the plan won’t see ads on TikTok, and their data won’t be used for advertising purposes.
Searchable WAR.GOV/UFO Files: 55,256 Slides Now Online
Title: Explore the WAR.GOV/UFO Files: 55,256 Slides Now Accessible Online Introduction The War.GOV/UFO Files, a comprehensive archive containing 55,256 slides, …
Archivarix.net: AI Tool for Efficient Information Management
Archivarix.net: AI Powered Information Management ArchivariX is an advanced AI tool designed to streamline information management. Utilizing state of the art te…
Airbyte Agents: Unified Data Context Across Sources
Airbyte Agents: Unified Data Context Across Sources Airbyte Agents represent a cutting edge approach to managing and integrating data from diverse sources into …
GetADB: Revolutionizing AI Tools on Hacker News
GetADB: Revolutionizing AI Tools on Hacker News In the fast paced world of technology, platforms like GetADB are making a significant impact by offering cutting…
AI-Powered Data Analysis Tool Launched on Vercel
AI Powered Data Analysis Tool Launched on Vercel Vercel has introduced a groundbreaking AI powered data analysis tool, designed to simplify and expedite the pro…
AI-Powered Tool: Vouchatlas.com Revolutionizes Data Visualization
AI Powered Tool: Vouchatlas.com Revolutionizes Data Visualization In the rapidly evolving landscape of data analysis, the demand for intuitive and powerful visu…
Oracle AI Developer Hub: Resources for Building AI Applications
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Master Modern Programming with Easy Vibe: Step-by-Step Guide
💻 vibe coding 2026 | Your first modern programming course for beginners to master step by step.
Building Smart Agents: Comprehensive AI Tutorial
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
AI-Powered Flopmap.com: Revolutionizing Data Visualization
AI Powered Flopmap.com: Transforming Data Visualization Data visualization has become an essential tool in various industries, enabling organizations to convert…
Glucera.app: Revolutionizing Data Analysis with AI
Glucera.app: Revolutionizing Data Analysis with AI In the rapidly evolving world of data analysis, Glucera.app stands out as a pioneering solution, leveraging t…
AI Tool zkhrv.com Revolutionizes Data Security
AI Tool zkhrv.com Revolutionizes Data Security Zkhrv.com emerges as a groundbreaking AI driven solution redefining data security. The platform employs advanced …
AI Tool Extracts 1730s-1960s Newspaper Articles at Scale
AI Tool Extracts Historical Newspaper Articles from 1730s 1960s In the digital age, tapping into historical archives has never been more accessible. An advanced…
Explore Light Pollution with Browser-Based AI Simulator
Explore Light Pollution with Browser Based AI Simulator Light pollution, the pervasive glow that obscures the night sky, is a growing concern. To understand and…
AI Tool: Bruin Data's GitHub Repository Highlighted on Hacker News
Bruin Data's GitHub Repository Gains Traction on Hacker News: A Comprehensive Look Bruin Data's GitHub repository has recently garnered significant attention on…
MLJAR Superwise: AI Tool for Data Labeling and Annotation
MLJAR Superwise: Revolutionizing Data Labeling and Annotation MLJAR Superwise is a cutting edge AI tool designed to streamline the processes of data labeling an…
Mljar Studio: Local AI Data Analyst Saving Notebooks
Mljar Studio: Empowering Local AI Data Analysis Mljar Studio is a cutting edge, open source tool tailored for local AI and machine learning (ML) data analytics.…
AI Tool Exploding Hamsters: Revolutionizing Data Analysis
AI Tool Exploding Hamsters: Revolutionizing Data Analysis In the rapidly evolving landscape of data analytics, innovative tools like Exploding Hamsters are emer…
Tabstack: Automate Browsers and Extract Web Data Easily
Extract web data and automate browsers, no scraper required.
AI Dental Software Fixes Data Exposure Bug
The security bug is now fixed, but the patient who found it said it was challenging to alert the software company about the issue.
AI Tool Analyzes Armey Curve for 151 Countries
AI Tool Analyzes Armey Curve for 151 Countries The Armey Curve, a widely recognized metric in economics, offers insights into the relationship between a nation'…
Hexlock: AI Tool for Anonymizing Personal Data in Text
Hexlock: Revolutionizing Data Privacy with AI Driven Anonymization In an era where data protection is paramount, Hexlock emerges as a cutting edge AI tool desig…
AI Safety Measures: Controlling AI Agents' Destructive Actions
Saw a case recently where an AI coding agent ended up wiping a database in seconds. It made me think about how most agent setups are wired: agent decides → executes query → done There’s usually logging-tracing but those all happen after the action. If your agent has access to systems like a DB, are you: restricting it to read-only? running everything in staging/sandbox? relying on prompt-level safeguards? or putting some kind of control layer in between?
Trading System V2: AI's Role in Deterministic Execution
Thanks to the incredible feedback on my last post, I’m officially moving away from the "distributed veto" system (where 8 LLM agents argue until they agree to trade). For v2, I am implementing a strict State Machine using a deterministic runtime (llm-nano-vm). The new rule is simple: Python owns the math and the execution contract. The LLM only interprets the context. I've sketched out a 5-module architecture, but before I start coding the new Python feature extractors, I want to sanity-check the exact roles I’m giving to the AI. Here is the blueprint: 1. The HTF Agent (Higher Timeframe - D1/H4) Python: Extracts structural levels, BOS/CHoCH, and premium/discount zones. LLM Role: Reads this hard data to determine the institutional narrative and select the most relevant Draw on Liquidity (DOL). 2. The Structure Agent (H1) Python: Identifies all valid Order Blocks (OB) and Fair Value Gaps (FVG) with displacement. LLM Role: Selects the highest-probability Point of Interest (POI) based on the HTF Agent's narrative. 3. The Trigger Agent (M15/M5) 100% Python (NO LLM): Purely deterministic. It checks for liquidity sweeps and LTF CHoCH inside the selected POI. 4. The Context Agent LLM Role: Cross-references active killzones, news blackouts, and currency correlations to either greenlight or veto the setup. 5. The Risk Agent 100% Python (NO LLM): Calculates Entry, SL, TP, Expected Value (EV), and position sizing. The state machine will only transition to EXECUTING if the deterministic Trigger and Risk modules say yes. The LLMs are basically just "context providers" for the state machine. My questions for the quants/architects here: Does this division of labor make sense? Am I giving the LLMs too much or too little responsibility in step 1 and 2? By making the Trigger layer (M15/M5) 100% deterministic, am I losing the core advantage of having an AI, or is this the standard way to avoid execution paralysis? Would you merge the HTF and Structure agents to reduce token constraints/hallucinations, or is separating them better for debugging? Would love to hear your thoughts before I dive into the codebase.
Sri Lanka Loses $3M in Recent Cyber Attacks Amid Debt Crisis
The government of Sri Lanka has lost more than $3 million in two recent, separate cybersecurity incidents as the country continues to recover from its 2022 debt crisis.
The Dominion List: Open-Source Database of Canadian Founders in the US
The Dominion List: Revolutionizing Access to Canadian Entrepreneurs in the US The Dominion List stands as an innovative, open source database dedicated to catal…
AI Tool: Merca.Earth Revolutionizes Sustainability with AI
Revolutionizing Sustainability: Exploring Merca.Earth's AI Tool In an era where sustainability is at the forefront of global concerns, innovative technologies a…
AI Tool Mines Academic Research for Time Series Insights
AI Tool Unlocks Academic Research for Time Series Insights In the ever evolving landscape of data science and analytics, an innovative AI tool is revolutionizin…
AI Tool kviss.eu: Revolutionizing Data Analysis on Hacker News
AI Tool kviss.eu: Transforming Data Analysis on Hacker News In the fast paced world of data analysis, staying ahead of the curve is essential. kviss.eu has emer…
AI Tool: Few-Shot Learning with GitHub's Few-Sh
AI Tool: Few Shot Learning with GitHub's Few Shot Learning Library Few Shot learning is a transformative approach within the artificial intelligence (AI) domain…
AI-Powered App Transforms Weight Loss Journey with Photo Tracking
Hi everyone, I wanted to share my progress. For years, I failed every diet because I hated the 'administrative' part of it. Logging every single snack into a database felt like a chore that reminded me of my struggle every day. Being a developer, I decided to build something for myself to lower the barrier. I built an app where I just take a photo of my plate, and it uses AI to identify the ingredients and estimate the calories. It removed the 'friction' that usually made me quit after three weeks. I’m now 173 lbs down and I’ve never felt more in control. I realized that for me, the key wasn't a stricter diet, but a simpler way to stay accountable. I’m sharing this because I’m looking for a few more people who are currently on their journey and feel overwhelmed by manual tracking. I’d love for you to try the tool I built and tell me if it helps you stay as consistent as it helped me. Keep going, it’s worth it!"
AI Tool Noirdoc Protects Client Data in Claude Code
PII guard for Claude Code to keep client data out of context
AI Tool: Rocky Data on GitHub for Data Analysis
Unlocking Data Insights with Rocky Data: Advanced Analysis on GitHub In the era of big data, Rocky Data on GitHub stands out as a robust AI driven tool designed…
How Do Developers Correct AI LLMs When They Spread Misinformation?
I watched Last Week Tonight's piece on AI chatbots today, and it got me thinking about that old screenshot of a Google search in which Gemini recommends adding "1/8 cup of non-toxic glue" to pizza in order to make the cheese better stick to the slice. When something like this goes viral, I have to assume (though I could be wrong) that an employee at Google specifically goes out of their way to address that topic in particular. The image is a meme, of course, but I imagine Google wouldn't be keen to leave themselves open to liability if their LLM recommends that users consume glue. Does the developer "talk" to the LLM to correct it about that specific case? Do they compile specific information about (e.g.) pizza construction techniques and feed it that data to bring it to the forefront? Do their actions correct only the case in question, or do they make changes to the LLM that affects its accuracy more broadly (e.g. "teaching" the LLM to recognize that some Reddit comments are jokes)? On a more heavy note, the LWT piece includes several stories of chatbots encouraging users to self-harm. How does the process differ when developers are trying to prevent an LLM from giving that sort of response?
AI Tool: Maigret Collects Dossiers by Username from 3000+ Sites
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
OrcaSheets AI: Streamline Data Reports & Dashboards
Query data to build dashboards and generate detailed reports
Social Fetch: Real-Time Social Data via API
Pull real-time data from any social platform via API.
Scholly Founder Sues Sallie Mae Over Termination, Data Claims
Chris Gray is suing his startup’s acquirer, Sallie Mae, for wrongful termination and alleging it's selling student data through a subsidiary. Sallie Mae denies the allegations and vows to fight.
US Supreme Court Weighs 'Geofence' Warrant Use in AI Searches
The U.S. top court is expected to rule on whether to allow police to identify criminal suspects by dragnet searching the databases of tech giants.