u/Agile_Commercial9558

I'm at that in-between stage where most of my reading still routes through English before it lands.

Then every now and then a sentence just goes in cleanly and I notice it happened. For those of you past that stage: do you remember your first one? What was the sentence and where did you hear or read it (native show, teacher, real conversation, random subway sign)?

I've been chipping away at Mandarin for a while and 了 keeps being the thing that resets me back to feeling like a beginner. Every explanation I read (change of state, completed action, both, neither)makes sense on paper and then evaporates the moment I try to use it in speech.

For those of you past that wall: was there one specific sentence, video, teacher moment, or piece of native content that made it click? Or did it just slowly stop being confusing over time?

Not looking for another explanation of the rules, more curious about the mental shift that happened for you.

Hello,
Some people any level interested in a group for learning chinese ? I can put at disposition an openclaw specially (ai agent) dedicated in the group to teach, and we can do regular call / talk in the group / give resource. The idea is to mainly speak in mandarin an in Telegram.

Just ping me here

Hello,

actually using the pinyin system to writing, i meet a hong kong one that use a difficult one were they write caracter kanzi by kanzi to write the caracter, i was thinking it could be very relevant to use it to speed up my process with kanzi. What are you using you and do you recommend it ?

Wanted to share a small TypeScript project I built this week.

The idea: get a Telegram alert within 30 seconds of any new token launched on pump.fun, Raydium, Moonshot, Uniswap and a few other DEXs already filtered for honeypots, tax > 5%, high dev/sniper concentration, etc.

The hard part is usually the data plumbing every chain has its own decoders, every DEX has its own factory, and you need a way to flag suspicious contracts in real-time. I used Mobula's Pulse Stream V2 because the filters are applied server-side, so I just send one subscribe payload with my criteria and only receive tokens that match.

Architecture is intentionally minimal:

WS stream → dedup (sqlite) → quality gate → score → Telegram push

The score is a 0-100 heuristic adding points for holders count, socials, mint authority revoked, low dev concentration, etc. Nothing fancy, but useful as a first-pass filter.

Repo (MIT): https://github.com/Flotapponnier/pulse-sniper

Walkthrough: https://www.youtube.com/watch?v=e2eL26746Ew

Open to feedback particularly on the score weights, which arecurrently arbitrary. Curious what others use as quality signals on fresh launches.

Genuine question for the Solana traders here — the rug rate on new launches is brutal and I've been trying to systematize the filtering instead of relying on gut feel.

What's been working for me: scoring tokens by sniper/bundler concentration in the first blocks after launch. If a big chunk of supply was scooped up by coordinated wallets in the launch window, it's almost always a coordinated dump waiting to happen. That single signal alone catches a huge share of the obvious scams. I packaged the approach into an open-source scanner using the Mobula API (they expose the sniper/bundler data directly, which saved me from running my own indexer):

Repo: https://github.com/Flotapponnier/sniper-bundler

Video walkthrough: https://www.youtube.com/watch?v=ezpfG_Tc6A0

Detection logic explained: https://docs.mobula.io/almanac/detecting-snipers-bundlers

But I know I'm missing things. What signals are you using that I should add?