Darshil Shah Profile
Darshil Shah

@darshilshah22

Followers
8
Following
19
Media
10
Statuses
81

Developer & Designer | AI, Python, React.js, NextJS | Node | FastAPI

Surat
Joined November 2023
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@darshilshah22
Darshil Shah
4 days
RT @darshilshah22: I am building FounderFuel. - 1 startup idea every day .- your niche and weird interests. What AI model should power thi….
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@darshilshah22
Darshil Shah
5 days
I am building FounderFuel. - 1 startup idea every day .- your niche and weird interests. What AI model should power this App?
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@darshilshah22
Darshil Shah
5 days
LangChain is incredible. You just need to understand:.- Chains.- Tools.- Agents.- Prompts.- Memory.- Callbacks.- Output parsers.- And why nothing works the first time. Easy. 😂.
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@darshilshah22
Darshil Shah
6 days
Founders who still manually review resumes are playing on hard mode. AI-Recruit gives you:.- Auto-screened candidates.- Async AI interviews.- Ranked top devs.First 5 hires → done without lifting a finger.
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@darshilshah22
Darshil Shah
7 days
RT @darshilshah22: If you're a founder spending six hours or more screening resumes….You're doing $10/hr work while building a million-doll….
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@darshilshah22
Darshil Shah
7 days
If you're a founder spending six hours or more screening resumes….You're doing $10/hr work while building a million-dollar product. AI filters junk, runs interviews, and ranks top devs for you. So you only show up when it counts.
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@darshilshah22
Darshil Shah
10 days
Founders are doing 10 jobs. Hiring shouldn’t be one of them. You're building, not reading 67 resumes. AI filters junk, runs async interviews, and ranks the top devs. so you only meet who matters. Smart founders delegate. Fast.
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@darshilshah22
Darshil Shah
11 days
RT @darshilshah22: What if AI could:.- auto-screen junk applications.- run AI-Driven tech interviews.- Hand you the top 5 pre-qualified can….
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@darshilshah22
Darshil Shah
11 days
RT @darshilshah22: LLMs don’t “understand” your prompt—they predict the next token based on billions of patterns. Prompt engineering is sys….
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@darshilshah22
Darshil Shah
11 days
What if AI could:.- auto-screen junk applications.- run AI-Driven tech interviews.- Hand you the top 5 pre-qualified candidates?.Curious to know: Would this actually save you 10+ hrs per hire?.
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@darshilshah22
Darshil Shah
11 days
LLMs don’t “understand” your prompt—they predict the next token based on billions of patterns. Prompt engineering is system design, not magic.
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@darshilshah22
Darshil Shah
12 days
RT @darshilshah22: Everyone’s building “AI tools.”.But if your stack doesn’t include:.- LangGraph for deterministic control.- FastAPI for s….
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@darshilshah22
Darshil Shah
12 days
RT @darshilshah22: If your AI app doesn’t have vector search, error handling, and task orchestration—it’s not production-ready. It’s a demo.
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@darshilshah22
Darshil Shah
12 days
Everyone’s building “AI tools.”.But if your stack doesn’t include:.- LangGraph for deterministic control.- FastAPI for scalable endpoints.- n8n for chaining ops and retries.- FAISS or Qdrant for context recall.Then you're not building tools. You're duct-taping APIs.
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@darshilshah22
Darshil Shah
12 days
If your AI app doesn’t have vector search, error handling, and task orchestration—it’s not production-ready. It’s a demo.
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@darshilshah22
Darshil Shah
12 days
RT @darshilshah22: Why AI tools fail in the real world:.- No frontend to trigger or configure them.- No backend to scale or secure them.- N….
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@darshilshah22
Darshil Shah
12 days
Why AI tools fail in the real world:.- No frontend to trigger or configure them.- No backend to scale or secure them.- No automation to keep them running.- No context of the actual pain point.It’s not the AI that’s broken—it’s your system design.
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@darshilshah22
Darshil Shah
13 days
You don’t need to become a world-class ML researcher. You need to solve boring problems with smart tools. Build systems that save time. Wrap them in a UI people understand. Scale them with code that doesn’t break. That’s what 99% of clients actually want.
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@darshilshah22
Darshil Shah
13 days
RT @darshilshah22: Most AI devs overcomplicate things because they don’t understand the user—they just understand the model.
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@darshilshah22
Darshil Shah
13 days
Most AI devs overcomplicate things because they don’t understand the user—they just understand the model.
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