... SaaS accounts. We interviewed 100 of them. We looked for patterns. The common assumption is that people leave because of price or missing features. That is not what we found. Here is what the data said. The top five reasons for churn Rank Reason

... half-second pause. A small internal question: is this okay? Then you override it and hit send anyway. Neuroscientists who study decision-making have documented what they call somatic markers where physical signals the body generates ahead of conscious reasoning, based on prior experience with similar situations. The original research, from Antonio Damasio, was about financial risk decisions. But the broader point holds: your nervous system can flag a situation as worth pausing on before your conscious mind catches ... ... available. The behavior persists long after the cause is gone. Most people using Google Drive, email, or Slack to send sensitive files aren't naive. They're fatigued. They know something is off. They've just run out of alternatives

... There seems to have two types of developers: Human in the loop : Those who like to control the behavior of their agents as it works, looking at the context usage, reading reasoning blocks, and approving individual file edits. Agent first : Those who prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel. What type of developer are you when working with AI coding agents? For context, when @Kilo Code launched their ... ... VS

... tell you how it decided. That's not a hardware problem. It's an algorithm problem. Different weightings, different baseline calculations, different thresholds - all proprietary, all invisible. You're left choosing which black box feels more right today. The reason we open-sourced the scoring algorithms in Open Wearables wasn't just philosophical. It's because conflicting scores are meaningless without context, and context requires transparency. When you can see exactly how a Resilience Score weights HRV versus

... they trigger after code is pushed. I wanted to shift that intelligence to the local terminal, acting as a gatekeeper for staged and unstaged changes before they ever reach a remote repository. Key Capabilities Unlike traditional linters, Pika Review uses reasoning-heavy heuristics to identify structural "silent killers": Performance Trace: Detects computational bottlenecks like $O(N^2)$ iterations and N+1 database queries that typically evade static analysis. Security Heuristics: Scans for high-risk patterns including Path Traversal, Insecure Deserialization ... ... Friction: Do you find local AI auditing to be a meaningful part of your dev loop, or is the terminal already too noisy for this type of feedback? Hallucination Mitigation: In an architectural context, how do you balance LLM reasoning

... code, even when I'm not the one explaining it! Comment from Goodman Soutonte(@goodman_thebrandoracle): I'm a brand strategist and I believe both ways work but then has to be done with caution. The only solid reason for building a personal brand behind a product is to help with anticipation towards launch and also help build trust...but then what happens if there's a controversy with the product after launch? It's definitely going to drag ... ... Comment from mohamed galal(@mohamed_glall): I think it depends on the stage. When the product is still early, the founder story helps a lot because people don t trust the product yet. They trust the person and the reason

... Editing a user message during a chat will now create a new branch. Added MiniMax ( minimaxi.com ) to the list of preset model providers. Interaction & Workflow When rejecting a tool call from the assistant, you can now provide a "reason for rejection". This helps the assistant understand your intention and correct its subsequent behavior (#304). Added "Always on Top" and "On Top When Typing" options to chat window (#295). Added global shortcuts for "Pick Visual Element" and "Take Screenshot ... ... disabled in settings) . Added tokens/s statistics (#323). Supported using middle mouse button click to quickly delete attachments in the chat input area. Added a toggle option for automatic chat title generation. When manually checking for updates, error reasons

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... person asking loudly means nothing. 47 people asking quietly over six months means build it. What's your system for separating signal from noise? Comment from Imed Radhouani(@imed_radhouani): @absheikh  Thanks for this!! The "customer you want vs

... your work directly moves the needle on revenue or growth, you should at least have the conversation about equity. Doesn't matter if you're writing code or building someone's brand on LinkedIn. If you're the reason clients are walking through the door, that's not just "marketing support" , that's sales with extra steps. The fact that they had equity listed for other roles but not yours tells you exactly how they valued that position. Which ...

... lists.  But here s the real question:  What if security didn t just detect issues? What if it proved exploitability?  ZeroThreat  is about to introduce Agentic AI Pentesting, a controlled, reasoning-driven approach that explores complex application behavior, adapts attack paths in real time, and validates real exploit chains within defined boundaries. Not autonomous chaos.  Not black-box AI. But governed, proof-based validation. Here ... ... what makes it different:  Adaptive attack-path reasoning

... user base. I need to be very careful about hemming in all data egress leaks and making sure tier limits are reasonable, balancing average costs and making sure I've left myself a workable runway of 3 years or so. Then it comes down to add-ons and how to price them so users hit reasonable

... Claude 3.7 or GPT-5.2, I m trying to find the 'Golden Ratio' for makers on a zero-budget. My current findings for the Office Bee MVP: The Brain: Gemini 3.1 Pro (via AI Studio) seems to have the highest 'Reasoning-per-Dollar' (free) for deep R&D. The Frontend: v0 (Free Tier) for shadcn/ui components. The Glue: Bolt.new for the initial scaffold. The Challenge: Most 'free' models hallucinate complex state management in full-stack architectures. For those ... ... expensive: Google AI Pro (former Google One - Google added AI to the storage plan) + Antigravity : Gives you a nice weekly quota rotation with Gemini and Claude (it is getting les generous overtime, but still weekly resets) Github Copilot Pro + VSCode

... tool that forces AI to actually think step-by-step instead of vomiting instant answers. Core idea: Most chat AIs just spit out the first thing that comes to mind. Intellithink makes them decompose problems logically, show their reasoning live, and deliver structured output (executive summary deep breakdown action plan meta insight). Right now it s 100% free (with honest daily limits so the free models don t die on day 3): 5 deep multi-agent runs/day URL support ... ... early (first PH upvote yesterday ), but the goal is to become the cleanest place online to force AI to reason

... Chinese Labs ( @DeepSeek , Moonshot and @MiniMax-M2.5 ) to extract capabilities from its Claude models via distillation. According to Anthropic, the campaigns involved: 16M+ exchanges ~24,000 fraudulent accounts Proxy networks to bypass regional restrictions Targeted extraction of reasoning, coding and tool-use abilities Distillation is a common technique for training smaller models from larger ones. The controversy here is using a competitor

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... shortcut in ArkTabs - Cycle Last Tabs: By pressing Alt + L, you can jump between current and last tab. and by press Alt + J and Alt + K, you can switch between last 5 mostly recently used tabs. So, the reason 1: it is new extension that will be released soon - ArkGroups like a companion extension for ArkTabs. and reason

... blog announcement: [1] Our new release, Composer 1.5, strikes a strong balance between speed and intelligence for daily use (...) Composer 1.5 is a thinking model. In the process of responding to queries, the model generates thinking tokens to reason about the user s codebase and plan next steps. (...) To handle longer running tasks, Composer 1.5 has the ability to self-summarize. This allows the model to continue exploring for a solution even when it runs out of available context ... ... Cache Read: $0.35 full comparison + source: cursor.com/docs/models#model-pricing Comment from Vladimir(@kelindev): Hi, devs! There's no Composer 2 thread so I'd post here. I like Composer 2 more than Sonnet 4.6. It wins in both speed and reasoning

... nika): @liron_ben_moshe  I suppose that many people will blindly trust just because of the comfort that it offers. Comment from Nika(@busmark_w_nika): @henrikpedersen  yeah, but in that case we are talking about passive vs active managin the data. I am okay that AI reads something and gives me suggestions, but when actively does things on behalf my name, that's no no Comment from Nika(@busmark_w_nika): @swati_paliwal  reading this ... ... review a junior dev's PR, not because you don't trust them, but because that's how you build confidence over time. The actually scary failure mode isn't "agent accesses my bank account." It's 50 small reasonable

... Claude just launched Claude Opus 4.6 . This is Claude s newest and most capable model so far. It s designed for deep reasoning, long-running agent workflows, and large codebases, with a 1M token context window in beta and stronger planning and code understanding. Curious to hear from the community. What are your expectations for Opus 4.6, and where do you plan to use it first? Comment from Bhavin Sheth(@allinonetools_net): Long context + stronger planning is the real ... ... beta) is the most interesting part for me, more than raw IQ gains. First places I d try it: understanding and modifying large, messy repos long-running workflows where the model needs to remember intent technical docs / architecture reasoning

... filing season is approaching, and it occurred to me that I haven't come across many AI tools on this platform that would solve this issue. Maybe for the following reasons (I think): diversity/complexity of tax entities and legal forms of business international business, accounting cases differ from case to case (taking into account currencies, forms of business, tax laws) laws in accounting and finance change very quickly Maybe some tools would handle this. Do you know of any comprehensive ...

... both worked at @Clerk . Alex is a rare talent, and more importantly, nice and kind human. So, when I had the opportunity to collaborate with him again, this was a no brainer. Setting up the launchpad Here's the reasoning we had when working on the required inputs. In one word: Consistency. Product name : Just Mastra. It's cleaner. Product tagline : The most important part? [1] We kept it simple and reused the H1 from mastra.ai for consistency. Product description ...

... sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years? The report highlights a fascinating divergence: the view from money vs. the view from science. Money : the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable. Science : the probability inferred from research papers and AI development models. Experts are far more ... ... might be ahead of reality. Expect volatility, overpromised outcomes, and valuable lessons along the way. Meanwhile, AI continues reshaping work, attention, and human behavior. I d love to hear the community s perspective: Are you seeing this money vs

... blockchain projects fail after their ICO, not because the smart contracts are broken, but because the ecosystem around the token never truly forms. Tokens launch, trading starts, and then usage slowly fades because there is no reason to hold or use the asset beyond speculation. SALVACoin is a blockchain-based trading and utility token we helped build to address that exact issue. This post breaks down what problem SALVACoin was designed to solve, how the ecosystem was structured, and what ... ... hold or actively use the token. Common pain points we saw early on: High gas fees make small transactions impractical ICO processes can be complex and insecure Many tokens lack real-world or platform utility Users have no reason

... Builders We have just released the official Python SDK and CLI for Alpie Core , our 32B reasoning model trained and served entirely at native 4-bit precision. The goal was simple: make it genuinely easy to build, test, and ship with a reasoning

... losing understanding. If you re curious, here s the link : https://www.graphbit.ai/prflow Comment from Magdalena Anderson(@magdalena_anderson): This hits a real pain point for me. I've fixed plenty of comments without fully understanding them. When the reasoning is clear, I learn faster and avoid repeating mistakes. That's when code review actually improves my thinking, not just my code. Comment from Musa Molla(@musa_molla): @magdalena_anderson  That s exactly the outcome we re aiming ... ... When feedback explains the reasoning