HackerTrans
トップ新着トレンドコメント過去質問紹介求人

HansP958

no profile record

投稿

[untitled]

1 ポイント·投稿者 HansP958·先月·0 コメント

Are 100k backlinks useful for early discovery?

300aidirectories.com
1 ポイント·投稿者 HansP958·6 か月前·2 コメント

Show HN: 100000 backlinks in under 7 days to accelerate early growth

300aidirectories.com
2 ポイント·投稿者 HansP958·6 か月前·0 コメント

Show HN: AI Directories – Submit your AI tool to 300 directories (2 minutes)

300aidirectories.com
1 ポイント·投稿者 HansP958·7 か月前·0 コメント

Show HN: A tool to help websites appear in AI-generated answers

x102.tech
2 ポイント·投稿者 HansP958·7 か月前·1 コメント

Show HN: I built an autopilot that generates and posts my X tweets every day

x101.tech
2 ポイント·投稿者 HansP958·7 か月前·0 コメント

Show HN: Sebastian.run – Generate native mobile apps from a single prompt

sebastian.run
1 ポイント·投稿者 HansP958·8 か月前·1 コメント

Show HN: Sebastian.run – Build mobile apps from prompts using AI

sebastian.run
1 ポイント·投稿者 HansP958·8 か月前·1 コメント

コメント

HansP958
·6 か月前·議論
When launching a new product on a fresh domain, one recurring issue is slow discovery and indexing, even with decent content.

I’ve seen some founders use very high-volume backlinks (100,000+) early on — not to rank money pages or bypass quality signals, but purely to:

speed up crawling and indexing

create initial link discovery

avoid months of low visibility

The idea is to separate:

backlinks for discovery

content + editorial links for rankings

From your experience, does Google still tolerate this approach if it’s used only as a launch-phase accelerator and not as a long-term ranking strategy?

Curious to hear how others here handle early discovery on brand-new domains.
HansP958
·7 か月前·議論
Sorry, but your platform's design dates back to the 1990s. It doesn't inspire confidence. You should redesign your site using vibe coding with Bolt or Lovable.
HansP958
·7 か月前·議論
The concept of "inverse parentheses" that unbundle operators is brilliant! The tokenizer hack (friendliness score by parenthesis depth, inspired by Python INDENT/DEDENT) + precedence climbing for infinite levels is elegant – parsing solved without convoluted recursive grammar. kellett

I love the twist: reversing the friendly levels gives you a classic parser, and it opens up crazy experiments like whitespace weakening. Have you tested it on non-arithmetic ops (logical/bitwise) or more complex expressions like ((()))?
HansP958
·7 か月前·議論
I agree. Nowadays, I systematically switch to dark mode on the websites I visit, if possible. Screens are becoming increasingly sophisticated, damaging our eyes, and HN isn't helping. I think they absolutely want to maintain their identity, but as a developer, I'm sure it wouldn't take too much effort to add a dark mode, given HN's simplistic design.
HansP958
·8 か月前·議論
Tech details: Built with React Native + Expo for the mobile side. Supabase handles authentication and backend logic. The backend is written in Python and orchestrates multiple AI agents — one for structure planning, one for code generation, and one for image creation.

Each prompt is parsed into app structure (frontend + backend + logic), and then compiled into a deployable React Native project.

I’d love to get feedback from devs who’ve tried no-code tools before — especially around architecture, prompt parsing, or how to make this more developer-friendly.