AXIALIS | Desktop App Tools

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AXIALIS | Desktop App Tools

AXIALIS | Desktop App Tools

@AxialisSoftware

Dev tools should reduce friction, not add complexity Building icon tools & workflows @ AXIALIS macOS + Windows

Paris, France शामिल हुए Eylül 2010
130 फ़ॉलोइंग262 फ़ॉलोवर्स
पिन किया गया ट्वीट
AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
Most AI posts show prompts. This one shows production. Watch Codex use MCP inside IconVectors 1.40 to build and export an icon live. That’s the shift: from AI-generated assets to AI-operated workflows. #AI #MCP #Automation
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@CTRL_Guy Not yet, but I really like the concept. My point was more about why these simple dev tools work: immediate value, clean UX, and easy sharing. I’ll check it out. That’s our philosophy at AXIALIS.
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CodeWithNuel
CodeWithNuel@CTRL_Guy·
Just saw this from a developer in my network 👀 He built a tool that converts your GitHub profile into a developer story page. - Clean UI. - Clear stats. - Shareable link. Simple tools like this are what make the dev ecosystem better. 🚀 What do you think ?
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@49agents @smarterparrot Exactly. A lot of tools improve visible output while quietly increasing correction, review, and cleanup work downstream. That’s the trap: the dashboard shows speed, but the workflow absorbs the cost. Real productivity only improves when the total friction goes down.
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49 Agents - Agentic Coding IDE
@smarterparrot the classic AI productivity paradox. boss sees efficiency, developer sees cleanup debt. its like when managers got excel and suddenly expected us to do financial modeling on top of coding. the tool looks productive on their dashboard but the actual work shifted, not disappeared
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Catherine Johnson
Catherine Johnson@smarterparrot·
My friend’s husband is going through this with a boss who’s an AI enthusiast — except his job is coding so he’s spending hours fixing AI-produced code when it would have been faster for him to write correctly in the first place One of Girnus’s best:
Peter Girnus 🦅@gothburz

My company rolled out AI tools 11 months ago. Since then, every task I do takes longer. I am not allowed to say this out loud. Not because there is a policy. There is no policy. There is something worse than a policy. There is enthusiasm. There is a Slack channel called #ai-wins where people post screenshots of AI outputs with captions like "this just saved me an hour." There is a VP who opens every all-hands with "the companies that adopt fastest win." There is a Director who renamed his team from Operations to Intelligent Operations. There is a peer review question that now asks: "How have you leveraged AI tools to enhance your workflow this quarter?" If the answer is "I haven't, because I was faster before," that is a career decision. So I leverage. Emails. Before the tools, I wrote emails. This took the amount of time it takes to write an email. I did not measure it. Nobody measured it. The email got written and sent and it was fine. Now I write the email. Then I highlight the text and click "Enhance with AI." The AI rewrites my email. It replaces "Can we meet Thursday?" with "I'd love to explore the possibility of finding a mutually convenient time to align on this." I read the rewrite. I delete the rewrite. I send my original email. This takes 4 minutes instead of 2. The 2 extra minutes are the enhancement. I do this 11 times a day. That is 22 minutes I spend each day rejecting improvements to sentences that were already finished. In #ai-wins I posted a screenshot of the rewrite. I did not post the part where I deleted it. 23 people reacted with the rocket emoji. That is adoption. Meetings. We have an AI notetaker in every meeting now. It joins automatically. It records. It transcribes. It summarizes. After each meeting I receive a 3-paragraph summary of the meeting I just attended. I read the summary. This takes 3 minutes. I was in the meeting. I know what happened. I am reading a machine's account of something I experienced firsthand. Sometimes the account is wrong. Last Tuesday it attributed a comment about Q3 revenue to me. My manager made that comment. I spent 4 minutes correcting the transcript. Before the notetaker, I did not spend 7 minutes after each meeting correcting a robot's memory of something I personally witnessed. I attend 11 meetings a week. That is 77 minutes per week supervising a transcription nobody requested. I mentioned this once. My manager said "think about the people who weren't in the meeting." The people who weren't in the meeting do not read the summaries. I checked. The read receipts show single-digit opens. The summaries exist not because they are useful but because they are there. I read them for the same reason. Documents. I write a weekly status update. Before the tools, this took 10 minutes. I typed what happened. I sent it. My manager skimmed it. The system worked. Now I open the AI writing assistant. I give it my bullet points. It produces a draft. The draft says "Significant progress was achieved across multiple workstreams." I did not achieve significant progress across multiple workstreams. I updated a spreadsheet and sent 4 emails. I rewrite the draft to say what actually happened. Then I run my rewrite through the grammar tool. It suggests I change "done" to "completed" and "next week" to "in the forthcoming period." I click Ignore 9 times. Then I send the version I would have written in 10 minutes. The process now takes 30. I have been doing this every week for 11 months. I have added 20 minutes to a task that did not need 20 more minutes. I call this efficiency. I have been calling it efficiency for 11 months. That is what efficiency means now. It means the additional time you spend to arrive at the same outcome through a longer process. Nobody has questioned this definition. I have not offered it for review. I kept a log once. 2 weeks. Every task, timed. Before-AI and after-AI. The after number was larger in every case. Every single one. Not by a little. The range was 40 to 200 percent. I deleted the log. I deleted it because it was a document that said, in plain numbers, that the AI tools make me slower. And a document like that has no place in a company where AI adoption is a strategic priority. I could not send it to my manager. He championed the rollout. I could not post it in #ai-wins. I could not raise it in a meeting because the notetaker would transcribe it and the summary would read "[Name] expressed concerns about AI tool efficacy" and that summary would be the first one anyone actually reads. So I do what everyone does. I use the tools. I spend the extra time. I post in #ai-wins. I write "leveraged AI to streamline weekly reporting" in my review and my manager gives me a 4 out of 5 for innovation. I have innovated nothing. I have added steps to processes that were already finished. I have made simple things longer and labeled the difference with words that used to mean something. Every week in #ai-wins someone posts a screenshot. And 20 people react with the rocket emoji. And nobody posts the part where they deleted the output and did the task themselves. Nobody posts the revert. Nobody posts the before-and-after timer. Nobody will. Because "I was better at my job before the AI tools" is a sentence that cannot be said out loud in any company that has decided AI is the future. Every company has decided AI is the future. So we leverage. Quietly. Adding steps. Calling them optimization. Getting slightly less done, slightly more slowly, with slightly more steps, and reporting it as progress. My yearly review is next month. There is a new section this year. "AI Impact Assessment." It asks me to quantify the hours saved by AI tools per week. I will write a number. The number will be positive. It will not be true. But the AI writing assistant will help me phrase it convincingly. That is the one thing it does well.

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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@ajay_2512x Useful roundup. A lot of frontend teams focus on collecting tools, but the bigger win usually comes from reducing fragmentation. The best results happen when UI components, icons and visual assets are treated as part of the same workflow, not separate layers.
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Ajay Bhakar
Ajay Bhakar@ajay_2512x·
🚀 Frontend Dev Toolkit You’ll Wish You Found Earlier If you're building modern web apps, leveling up your UI/UX game, or preparing for frontend interviews ,this curated list is pure gold. Here are some of the best tools, resources, and inspiration hubs every frontend developer should bookmark 👇 ✨ Design Inspiration & UI Libraries Mobbin — Real-world UI/UX inspiration for mobile & web apps Rebrand — Beautiful visual identity inspiration landing.love — Handpicked landing page designs Aceternity UI / Magic UI / Launch UI — Stunning modern UI components Animate UI & Animata — Smooth animated React components Cult UI & Skiper UI — Unique shadcn-based components Headless UI — Accessible, unstyled UI building blocks shadcn/ui — Beautifully designed, fully customizable components built on Radix & Tailwind 🎨 Icons, Assets & Visuals Hugeicons — 46,000+ icons (free & pro) Icoon — Clean 3D icon library ⚡ Frameworks & Dev Tools Ant Design + Ant Design Pro — Enterprise-grade React UI system UmiJS — Scalable frontend framework VoltAgent — Open-source TypeScript AI agent framework 📚 Learning & Practice You Don’t Know JS — Deep dive into JavaScript fundamentals The Modern JavaScript Tutorial — Beginner to advanced guide devChallenges — Real-world frontend projects GreatFrontEnd & devtools.tech — Interview prep resources 🔥 More Cool Stuff Supahero — Hero section inspiration Ui-Layouts — Layout ideas for frontend apps mapcn — Simple map integrations 💡 Whether you're a beginner or experienced dev, these tools can seriously boost your workflow and creativity. 🔖 Save this for later & share with your dev friends! #Frontend #WebDevelopment #UIUX #ReactJS #JavaScript #Developers #CodingResources
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
Polished apps don’t happen by accident. Axialis IconGenerator turns icon collections into release-ready assets from the CLI. SVG, PNG, ICO, ICNS. Multiple sizes. Dark mode. Colorization. Built for app teams that care about polish.
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@zeplin Exactly. Activity views only work when they stay focused enough to remain useful in daily workflows.
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Zeplin
Zeplin@zeplin·
@AxialisSoftware Exactly! We intentionally kept the activity list narrow to avoid the noise. Let us know if it hits the right balance for you.
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Zeplin
Zeplin@zeplin·
Hey friends, bloom season is here at Zeplin! 🌸 We just shipped Project Activity and a whole lot of everyday improvements — updates to features you already rely on, inspired by your feedback. ↓
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@phi11ip_e11iott Exactly. The real value is in turning scattered feedback into a clear, buildable roadmap. Great tools don’t just surface information. They help teams decide faster and move to execution. This is very much how we think at AXIALIS.
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Phillip Elliott
Phillip Elliott@phi11ip_e11iott·
@AxialisSoftware Exactly, it gives you an exact roadmap and tells you what app to build. The report is even downloaded as a markdown file so you can easily upload it to your coding agent of choice and it can get to work building the product.
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Phillip Elliott
Phillip Elliott@phi11ip_e11iott·
Tomorrow I'm launching DemandDrop on Product Hunt It's an AI tool that scans Reddit complaints and scores which ones people will actually pay to solve. You get a full report with pain point rankings, MVP specs, and a launch playbook in 60 seconds. Built it because I was tired of scrolling Reddit for hours trying to find product ideas. Free to try, no credit card needed. Would love your support tomorrow morning producthunt.com/products/deman…
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@GergelyOrosz That’s usually the real signal. Large teams don’t commit to a tool because it looks impressive, they commit because it fits the workflow, earns trust over time, and keeps delivering in real-world use.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
This week, from a CTO at a large tech company, when I asked them about AI tools usage: "We have teams of ~100 evaluate various tools: Claude Code, Codex, Cursor etc. Then we decide where to invest in. We're actually starting to get really bullish on Cursor, again"
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@samoye95 That’s where the real value is. Understanding UI/UX is important, but understanding how it fits into the developer workflow is what makes a tool genuinely useful instead of just impressive in a demo.
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
Before vs After using IconVectors Post Before: • messy SVG • manual fixes • inconsistent UI After: • clean code • aligned icons • ready-to-use components Small tool. Huge productivity gain. #Frontend #DevTools
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@smvexperts Totally agree. Tools and frameworks can speed things up, but they don’t replace fundamentals. In practice, the best workflows still depend on understanding the layers underneath.
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@merge_api This resonates a lot. The real problem isn’t the number of tools, it’s the cognitive load of evaluating them and figuring out how they fit into an actual workflow. Anything that reduces that friction has real value.
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Merge
Merge@merge_api·
Sifting through thousands of tools is a soul-crushing slog. We built Tool Search to get you the right tool for any job, fast. Now available via API and CLI.
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
The biggest gap in dev tools today isn’t capability. It’s consistency in real-world usage.
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PainMap.io
PainMap.io@painmapio·
Exactly this. Most tools just scrape reddit and call it research, I decided that wasn't enough. Especially if I am planning to generate MRR from PainMap. Our pain point discovery pulls from a variety of sources across multiple platforms, running three parallel search angles, each approaching the niche in a different way, to find out what people are actually willing to pay to fix. WTP (willingness to pay) signals get extracted from those searches. That could be explicit price mentions, budget complaints, scaling costs etc. This becomes the pricing anchor. We then mine competitor reviews, going through 1 & 2 star reviews of every major competitor in the space. Finding issues with tools people are already paying for. All of this feeds into one single MVP brief, features defined by competitor weaknesses, pricing anchored to real pay signals and positioning built from the exact language used in the reviews. The output isn't simply a list of what people are complaining about on reddit or X, its a product decision backed by research grade evidence. All delivered to the user in under 90 seconds.
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PainMap.io
PainMap.io@painmapio·
Day 9 of building PainMap in public. Just shipped competitor review mining. Type a niche. PainMap now automatically: — Finds the top tools people use — Mines their 1 and 2 star reviews — Surfaces the recurring complaints — Identifies the exact gap to exploit — Writes your positioning angle This is results from a search in the healthcare niche.
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
@dianne_alter @paper Really interesting breakdown. The most important part here isn’t just that one tool produced better-looking results, but that the output was structured in a way that could actually move into production. That’s usually the difference between a good demo and a genuinely useful tool
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Dianne Alter
Dianne Alter@dianne_alter·
I've been playing around with this new design-to-code tool called @paper for the last few weeks. I wasn't expecting the gap with Figma to be this big. I gave both tools the 2 exact same prompt, identical starting point: redesign a 404 error page. Figma gave me three options that were basically the same. It ignored half the prompt. Paper gave me three distinct designs with better copy and a split view layout that I really liked. The output is real HTML, CSS, and Tailwind. So I took Paper's winning design, connected Claude Code through the MCP, and built it directly into the codebase. It asked me questions about button logic and existing routes. It pulled from the current design system. The final result was almost 1:1 with what Paper designed. I even took it one step further and tested pulling a Storybook component library into both tools. Figma scattered variants across separate pages with no structure. Paper organized every size, color, and state in one file, exactly how you'd expect a component library to look. Shoutout to our amazing designer @ftosses for inspiring me to try paper :) I tested a full comparison video this week :)
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AXIALIS | Desktop App Tools
AXIALIS | Desktop App Tools@AxialisSoftware·
Most AI tools can suggest changes. Very few can actually make them. IconVectors 1.40 brings MCP to a real vector editor. That means AI can now inspect an SVG, refine it, preview the result, and export it. Not just prompts. Not just suggestions. Actual SVG editing. For developers building UI, that’s a meaningful shift: less back-and-forth, faster iteration, and a more practical way to work with vector assets. What would you automate first in your SVG workflow? #MCP #AIEngineering #SVG #Frontend #DevTools
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