
Priceworthy
Know your worth. Finally charge it.
What it does
Know your worth.. this novel pricing tool has been developed to enable business owners, coaches, therapists etc to better values their offers. Taking into consideration, mindset and behavioural psychology, the apps uses NLP to distinguish patterns of the user via an audit. The app then produces a report that provides recommendations and a strategy to improve the owners pricing models.
Does a similar job
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- WBWe built PriceLevel to find out what companies pay for SaaS2024 · pricelevel.com · ▲532
Hey HN! Christine and Steven here. As a PM and engineer, we’ve both evaluated and purchased a lot of software. One of the biggest frustrations was figuring out how much it would cost us without having to go through the sales process. When we did have a quote, we had no idea if we were getting a good deal or ripped off. We built a site where you can see what other companies are actually paying for SaaS and enterprise software. Buyers contribute prices via quotes, pricing proposals, and other documentation to ensure quality. We unlocked Talkdesk for Show HN users so that you can use the…

Business Valuation for Shopify Apps2022 · ▲113Find out how much your business is worth in a few clicks
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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