... think the real metric is cost per outcome. A tool that uses fewer tokens but requires multiple rounds of debugging may be more expensive in terms of developer time. I d love to see benchmarks that measure autonomy, correction cycles, and time-to-merge rather than just token consumption. Comment from Asad M.(@asadmalik901): The methodology you are looking for exists, it is just annoying to run: fix the task, vary the tool, and count total tokens until the artifact ...

... tired of the noise in technical analysis. Some people swear by RSI, others rely on EMAs. But when you try to average them, you realise a static average doesn't work because different indicators dominate different market regimes (trending vscycling). To solve this, I spent the months building an engine (TickerSignals) that scores 39 indicators across 6 layers daily for 2,500+ stocks. To calibrate the weights, I backtested roughly 2L+ historical signals. Here are my two biggest takeaways ... ... oscillators like RSI will stay "oversold" or "overbought" for weeks while the price climbs, yielding false signals. Your weights must dynamically shift to trend following indicators (EMAs, SuperTrend) in trending phases and back to oscillators when the market

... 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

... depends a lot on: what industry are you in? what is your budget? what is your competition? what is your product? I'm trying to get an overview of possible marketing activities that work across industries/products and product life cycles yes, to create a more comprehensive picture and possible marketing mix for me. Specifically in your industry, what marketing activities have worked to grow your product? [write product/industry, in which product life cycle

... core beliefs: relative progress from your own baseline is more useful than generic scores. 3. Personalisation has to reflect real life One of the most useful questions we got was whether brain-performance baselines should account for hormonal cycles. The answer ... ... want to understand focus, energy, and resilience properly, context matters. Personalisation cannot stop at a single static baseline. It needs to reflect the realities of each user s life, including sleep disruption, parenting, pregnancy, postpartum recovery, and cycle

... looks simple. Strong retention. Happy customers. Steady growth. What most people don t see: our average deal takes ~60 days to close. Some move faster. Many don t. And that changes how you run GTM entirely. Long sales cycles stretch everything: Forecasting feels fuzzy Pipeline looks slow Follow-ups run for weeks Product, finance, security, legal all get involved Behind every Closed Won there are: Multiple demos Security reviews Custom proposals Legal back-and-forth Internal champions pushing internally Weeks ... ... than anything. You question your positioning. Your pricing. Your messaging. Your motion. But here s what I ve learned: When someone evaluates you for 60 days and still chooses you, it s not impulse. It s conviction. Long sales cycles

... different challenge: control complexity . Property owners and facility managers often deal with: Multiple snow-melting controllers across large areas No unified visibility into device status Manual checks to confirm systems are running Delayed response to faults or missed cycles Energy waste from over-running devices This Idea Usher review identifies Snowmatic s core problem as device sprawl . The hardware exists and works, but managing it efficiently at scale is where most users struggle. Snowmatic does not replace snow-melting equipment ... ... User Flow Snowmatic s flow is intentionally minimal. Typical User Journey User creates an account and profile Devices are added using a Device Key or Wi-Fi provisioning All controllers appear on a single dashboard User monitors status, power cycles

... Real estate development is a game of velocity. Faster time-to-market wins. Better visualization wins. Faster buyer decisions win.For decades, visualization was a bottleneck. Professional rendering took weeks. Revision cycles added more days. By the time the imagery was ready, the market window had often shifted. AI-powered floor plan to 3D conversion is ending that bottleneck. Instant visualization (tools like Foursite ) means weeks of acceleration, which translates to months of economic advantage.   Here's the ROI from ... ... VirtualSpaces ' perspective: Direct cost savings:  $30-50K professional visualization Vs

... words permanently. Here's the truth most vocabulary apps won't tell you: Your brain doesn't reward ambition. It rewards repetition over time. When you learn 100 words daily for 10 days: Severe cognitive overload Minimal spaced repetition cycles Burnout kills the habit Most words never make it to long-term memory When you learn 10 words daily for 100 days: Sustainable cognitive load 15-20+ review cycles

... feel very terrible even after 8-9 hours sleep, why? Cause you wake up in the middle of a sleep cycle. What is a 90-minute sleep cycle

... investor and as a developer. I have launched many products on ETH, Polygon & Cardano network. This thread though is more about the investor side of things. How are you folks dealing with the volatility of this particular cycle? The uncertainty from the politics and regulations that are coming from US side? Feels like the business market cycle