माननीय प्रधानमंत्री श्री नरेन्द्र मोदी को भारत के सबसे लंबे समय तक निर्वाचित प्रधानमंत्री के रूप में सेवा देने की उपलब्धि पर हार्दिक बधाई एवं शुभकामनाएँ। भारत की सतत प्रगति को आगे बढ़ाने में आपकी निरंतर सफलता की कामना करता हूँ। साथ ही, हमारे दोनों देशों और उनके लोगों के हित में हमारी व्यापक रणनीतिक साझेदारी को और अधिक सुदृढ़ बनाने के लिए आपके साथ मिलकर कार्य जारी रखने की अपेक्षा रखता हूँ।
Sincere congratulations to @narendramodi on becoming India’s longest-serving elected Prime Minister. I wish you continued success in driving India’s ongoing progress, and look forward to further strengthening our Comprehensive Strategic Partnership for the benefit of our nations and peoples.
Now Pakistqn has lost one jet and one helicopter due to crash in last 1t days and even 21 soldiers
Yeh madarchod Tejas crash par bahut memes bana rahe the
Aur Pakistanio maza a raha hai ek aur helicopter crash 21 Pak fauzi kutte Allah ko pyaare ho gaye 😂😂😂😂
When Tejas crashed in Dubai these Behan ke laude Pakistanis were laughing and ridiculing our martyred pilot
Today Pak army 21 dogs reached hell in helicopter crash
Today is day for me to ridicule PAF 😂😂😂
@afsharidshah@singhaazad828 Best wishes for your independence bro. You fight with Pakistan and throw those fucker out of your independent state. Then we will fight. Because they are poor we are not. We may fuck you in one night.
@alexanderbenz That fourth question changes everything. Without it, even great content just educates. With it, the content moves someone toward a specific next step. That's the difference between content that gets saves and content that actually drives pipeline.
Everyone is chasing "AI virality".
Almost no one is chasing AI that prints revenue.
Last month I used 1 simple AI workflow to add ₹4.2L in pipeline for a SaaS with <10 employees.
Here's the exact system (steal this):
@wpbeginner The channel gap is the real problem. Ran WhatsApp bot deployments across 20+ enterprise accounts in India. The ones that worked had a unified inbox where WA, website chat, and CRM all talked to each other. The ones that failed treated WhatsApp like a standalone tool.
@RoyAmal The system framing is spot on. Tested this with a 3-person SDR team at a mid-market SaaS. The agents handled research and first-touch. The humans handled the conversation from demo onwards. Pipeline coverage went up, headcount stayed flat. That's the real ROI story here.
@NbSoloman The 'AI Hub' framing is exactly where enterprise CS teams are stuck. They have 6 different AI tools, nobody knows which one to use for which task, and the CSMs end up doing everything manually anyway. One central layer with clear ownership changes that completely.
@NapierHolland This is the real unlock nobody talks about. The prompt is just the surface. Ran AI-assisted QBR prep for 40+ enterprise accounts and the output was only as good as the call notes, CRM data, and usage signals going in. Clean inputs, sharp outputs. Garbage in, garbage out.
@SkillfulAI 5 minutes is real if your data is clean. The problem in most mid-market SaaS is the knowledge base is a mess of outdated docs and Notion pages nobody maintains. The agent is only as sharp as what you feed it.
@telnyx Been running WhatsApp voice bots for enterprise accounts in India for a while now. The hardest part is not the tech. It's training the agent to handle regional accents and code-switching mid-sentence. Would love to see how Telnyx handles Hindi-English mix in real deployments.
@ai_rohitt The section on context windows alone is worth 30 minutes of most paid courses. Watched the whole thing. Bookmarked. The prompting patterns they show for agentic workflows are what most people are missing.
@alexanderbenz Exactly — garbage in, garbage out.
We pre-frame the founder with 3 questions before hitting record:
1. Who churned last quarter and why?
2. What do buyers say right before yes?
3. What do you wish you'd said on the last lost deal?
That's what turns a rant into usable signal.
@0xMovez The shift from "prompting" to "looping" is the real unlock.
Most people treat Claude like a search engine. Boris treats it like a system.
Wire up memory + routines + a scheduler, and you stop working IN the tool — you start working ON the system. That's where 10x output lives.
If you're a SaaS founder or growth lead and you're still treating AI like a toy, you're leaving pipeline on the table.
Want the exact prompts + systems I used?
Reply "PLAYBOOK" and I'll drop the full workflow.
Numbers in 30 days:
- 71 warm DMs / emails sent
- 23 meaningful replies
- 9 qualified demos
- ₹4.2L in pipeline
No viral dance. No 30-tool stack.
Just focused distribution + a bit of AI.