@XM_COM I’m extremely disappointed. My deposit of ₹40,000 has not been credited to my trading account despite raising multiple complaints. This issue remains unresolved with no update from your team. I request an urgent response and immediate action. #XM
@XM_COM@XM_COM I’m extremely disappointed. My deposit of ₹40,000 has not been credited to my trading account despite raising multiple complaints. This issue remains unresolved with no update from your team. I request an urgent response and immediate action. #XM
@XM_COM@XM_COM I’m extremely disappointed. My deposit of ₹40,000 has not been credited to my trading account despite raising multiple complaints. This issue remains unresolved with no update from your team. I request an urgent response and immediate action. #XM#CustomerSupport
@XM_COM I’m extremely disappointed. My deposit of ₹40,000 has not been credited to my trading account despite raising multiple complaints. This issue remains unresolved with no update from your team. I request an urgent response and immediate action. #XM#CustomerSupport
✨ A dream I had finally came true: I can now chat directly with my sites to build any feature or fix any bug just via Telegram
I've been playing with OpenClaw for 3 weeks now and it's great but I was always too scared to run it on any production server
And I was right a bit as @marckohlbrugge was able to hack it by social engineering and acting as if it was me, and with enough tries it believed him, and was able to modify the server, change SSH keys etc. of course I had it isolated properly on its own VPS and it didn't touch anything sensitive (as it should!)
Marc then reported that bug to @steipete who patched it fast
But I wanted to try something more basic and simple, and I think maybe more secure: to just connect Claude Code on my server to Telegram which would be hard locked to only messages from me
So I installed claude-code-telegram by @RichardAtCT on the server and run it as a system daemon and it works really well
The cool thing is that I was already using Telegram for server errors like this:
> Photo AI - ❌ Random credits giveaway failed (Attempt 30/30) with an exception: SQLSTATE[HY000]: General error: 5 database is locked
So now I can just reply, "Ok fix this", and Claude Code on the server in production will try (and probably succeed) in fixing it
In the video below I asked it to make show [🌳 Parks ] on the map by default on load, it did that, then I reloaded the page and it instantly worked
One thing it still needs is sending actual messages while it's doing stuff which OpenClaw does really well, it's annoying to just wait while it says "Working..." but that's probably next
The funniest take is that I "failed" 43 times when people look at my GitHub repos and projects.
Uhmm... no? Most of these are part of @openclaw, I had to build an army to make it useful. https://t.co/GLR35USlzu
New @openclaw beta is up! This one again focusses on security and bug fixes, but we added a gem:
TELEGRAM MESSAGE STREAMING 🚀
to update, ask your agent or run:
openclaw update --channel beta
SaaS founders are going to hate me for this...
but we've reached a point where literally anyone can build and launch a SaaS in days
that's why there is a new "game-changing" software trending every single day
but here's the thing... instead of paying $300+ monthly for subscriptions, why not just build your own versions?
i created a system that reverse-engineers any SaaS:
- breaks down their entire architecture and feature set
- creates step-by-step blueprint for vibe-coding your copy
- generates custom Cursor prompts for instant development
i should probably keep this for myself, but whatever...
reply "BUILD" + retweet and i'll send you the system (must follow for DM access)
@EXM7777 Hey man!! How do to find idea for product.. should I copying other business if so how should I do marking then ? Can you help here it will be helpful..
The biggest lesson? You don't need OpenAI for 60% of use cases.
Local LLMs are perfect for:
- Classification tasks (90% accuracy vs 95%)
- Data extraction
- Simple Q&A
- First-draft generation
We still use GPT-4 or other models for complex reasoning. But that's like 20% of requests.
The aha moment for me was discovering response streaming. Your users don't want to wait 10-15 seconds for a response. Stream it token by token:
-----------------------------------------------------------
stream=True
for chunk in response:
yield chunk['message']['content']
------------------------------------------------------------