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Propose and Dual-Control for DNS Changes

Hacker News

Propose and Dual-Control for DNS Changes

Hey, Hacker News. I just want to pick your brain for a feature we're working on. I don't know whether you have seen this as a pain point, but when I work in a company, a lot of times I try to launch something and need to change a DNS record. It's always a source of friction in the organization. I have to email someone or give a link to a co-worker. They have to figure out how to do it, but also whether I have a business justification for doing it. So, when we built this platform, we're trying to come up with a feature that makes it easier. Someone can send you a proposal for DNS record updates. Our system will take the instructions, whether they come from a website, copy and paste, email, or Slack. Anything put in here becomes a proposal for a DNS change, and then someone can approve it. In addition, we believe that for sensitive DNS record changes, it is good to treat them like a bank transfer. So we are building a new feature for dual control, two-person control, or multi-person control of the approval flow, as well as an audit history of who proposed what, who approved something, the date and time, and what changes were made. In addition, we also want to get feedback. I have observed the design slop of the AI that I use, ChatGPT. There are multiple problems. This is the one-shot outcome, and then we massively simplified it to this. Basically, the summary is that it keeps using very bold and solid colors that are very attention-grabbing. The AI also tends to print out a lot of text that is noisy to the user. AI doesn't really understand the structure of the system or the relationship between which components contain which conversations. For example, this requirement for person approval probably fits best in the system where you approve or reject something, right? It is also very verbose. So it took us a little bit of iteration to improve the design. I'm not a designer. I would love to get feedback about the design and whether the observation of AI slop is the same. Have you experienced the same thing? There are other kinds of AI slop. That's it. Thank you. (AI Disclosure: ChatGPT 5.6 Luna was used for grammar fix and spell check)

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, user, new · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, io · Missing: https docs, excited, just released
38%38% 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 · Missing: plus, intuitive, reviews
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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