SmartDesk 5–A touchscreen-enabled standing desk for developers

Hacker News

Hi HN, I’m from the product team at Autonomous. We built SmartDesk 5 with coders, hackers, and builders in mind—those who spend hours solving problems and creating. Here’s what it offers: 1. Smooth surface: The 1.2” HDF surface with rounded edges provides flawless mouse tracking and a comfortable setup for long sessions. 2. Touchscreen control: Adjust desk height directly from the surface, even with heavy setups (lifts up to 330 lbs). Save presets for sitting and standing. 3. Sturdy platform: The oval-shaped C-frame eliminates wobble, even during intense typing or multitasking. 4. Built-in power: Integrated outlets and cable management for clean workspace. 5. Functional details: Hooks for bags or headphones keep essentials within reach. SmartDesk 5 is made to adapt to your workflow and handle everything from coding marathons to hardware-heavy projects. We’d love to hear your thoughts, suggestions, or ideas to make it even better. Let us know what you think—thanks for checking it out!

Visit product View on Hacker NewsNov 20, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: coding, code · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, builder · Missing: plus, intuitive, reviews

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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