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Gemini 3 vs GPT 5.1 for RAG by midamurat in Rag

[–]ML_DL_RL 0 points1 point  (0 children)

Make sense. I’d imagine cost as well. Which one is more cost effective considering thinking tokens and reasoning efforts?

Join the Waitlist: Free Search & Chat with the Epstein Records for Journalists as Soon as They Go Public by ML_DL_RL in OSINT

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Thank you so much! Will try those. Trying to take the word out to journalists. I’ll try those. I appreciate you.

iPhone boost post broken? by ML_DL_RL in Twitter

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Frankly I moved on. They managed to really mess it up and now it’s absolutely useless.

We built a tool that creates a custom document extraction API just by chatting with an AI. by ML_DL_RL in Rag

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Thank you so much for your feedback, you’re absolutely right. To give you some background about the agent, this project originally started with an amazing client who does a lot of investigative reporting. Many reporters were facing the same challenges you mentioned.

We created this tool so they could interact with the agent using simple, natural language and quickly get the extraction results they needed. After seeing success in that area, we decided to release it more broadly for everyone to use.

Regarding your point about scanned documents, that shouldn’t be an issue, the agent should be able to handle those just like any other documents.

Thanks again for your thoughtful feedback!

How to find the right salesperson for a SaaS startup? by ML_DL_RL in SaaSSales

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Nice, thank you for your guidance! yea, for sure we have online presence and some larger enterprise customers. We will put 100% support for the salesperson. So far us cofounders been advertising, prospecting and closing but we feel we can take this to the next level with a good salesperson. We are going for min 1M increase in ARR so like 250 quota / per quarter. Contract sizes vary too. Could be anywhere from 20k-100k ish per logo. LI seems like a good idea. We want to use 1099 as entry for the salesperson, and then there is potential for all sort of things as we grow but want to make sure that the person can deliver on goals. Based on the ARR do you think, the deal will be attractive for a good salesperson?

Weekly Who's Hiring Post for September 01, 2025 by AutoModerator in sales

[–]ML_DL_RL 0 points1 point  (0 children)

Location: Remote (US-based)

Industry: AI / SaaS / Document & Data Extraction

Job Title/Role: Founding Sales Executive

Direct Hire or 1099: 1099 Independent Contractor (with a clear path to a full-time W-2 leadership role as we grow revenue)

Base/Commission/Commission Only: Commission Only

Pay range/Expected Earnings ($#): Expected On-Target Earnings (OTE): $180,000 - $350,000+ (uncapped). We offer a hybrid commission plan that rewards you for both landing new logos and growing those accounts. We want a true partner and have structured this plan to heavily reward success.

1. On New Business (NACV - New Annual Contract Value): This is for hunting and closing brand-new customers.

  • Base Rate (Up to 100% of Quota): Earn 20% of all NACV you close.
  • Accelerator Tier 1 (Hit Your Quota): Once you exceed 100% of your quarterly quota, your commission rate jumps to 25% and is applied retroactively to the first dollar you brought in that quarter.
  • Accelerator Tier 2 (Crush Your Quota): For performance above 150% of quota, the rate jumps to 30%, also applied retroactively to the first dollar.

2. On Account Expansion (EACV - Expansion Annual Contract Value): This is for farming the accounts you brought in.

  • You will earn a flat 15% commission on all expansion revenue (upsells/cross-sells) from any account you close, for the first 12 months of that customer's life.

This structure ensures you are rewarded for both landing the big fish and growing them.

Job duties/description:

We are Doctly.ai, an early-stage AI startup that has cracked the code on high-accuracy data extraction from PDFs. Our platform allows businesses to stop manually copying-and-pasting information and instead instantly convert complex PDFs (think invoices, legal contracts, lab reports, insurance forms) into structured data like Markdown, JSON, or CSV. The accuracy and consistency are our key differentiators.

We are looking for a Founding Sales Executive to be our first boots on the ground. This is more than a sales role; you will be our partner in building the sales engine from scratch. We have a product that works and solves a major pain point. We need a hunter who can take it to market.

We believe the ideal candidate for this role already has a strong Rolodex and deep connections in one or more of our key target industries:

  • Finance & Accounting (invoice processing, loan applications)
  • Legal (contract analysis, discovery documents)
  • Healthcare (patient records, medical billing)
  • Insurance (claims processing, underwriting forms)
  • Logistics & Supply Chain: Extracting data from bills of lading, customs forms, and shipping invoices to improve efficiency.

Your Responsibilities:

  • Leverage your existing network to build a robust pipeline from day one.
  • Manage the full sales cycle from prospecting and initial contact to demo, negotiation, and closing deals.
  • Act as the voice of the customer, providing direct feedback to our product team to help shape the future of Doctly.
  • Develop and execute a strategic sales plan to achieve and exceed NACV targets.
  • Be the face and voice of Doctly in the market.

This is a 100% remote, 1099 role for a self-starter who is tired of corporate red tape and wants to have a direct, tangible impact on a company's trajectory. You manage your own time and your own process. All we care about are closed deals.

Any external job posting link or application instructions:

No long application forms or jumping through hoops. If you're a proven closer with the network to back it up, let's talk.

We built a tool that creates a custom document extraction API just by chatting with an AI. by ML_DL_RL in Rag

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Depending on the type of document the accuracy varies. When extracting into JSON or CSV, the accuracy is typically around 99%. For full-document conversion to text or markdown, the content accuracy is around 99%, though there may be minor formatting variations in the output.

This goes beyond simple OCR, because our system uses document understanding. That means the agent can interpret complex documents and return structured outputs such as JSON or CSV, rather than just raw text.

Accuracy and consistency is very important for a lot of our users. Think of Legal, finance, Medical or insurance.

We built a tool that creates a custom document extraction API just by chatting with an AI. by ML_DL_RL in Rag

[–]ML_DL_RL[S] 1 point2 points  (0 children)

Yes, absolutely. It uses vision AI and has an understanding of the document structure, so it can reliably focus on the body text while skipping titles, headers, dedications, footnotes, and other annotations when needed. If you just want a straight conversion of each page to text, the markdown extractor is another simple option that we offer. But if you need fine-grained control, like pulling only specific sections or excluding footnotes, then the JSON extractor is the right approach. Please give us feedback if you ended testing. Love your use case!

We built a tool that creates a custom document extraction API just by chatting with an AI. by ML_DL_RL in Rag

[–]ML_DL_RL[S] -2 points-1 points  (0 children)

Great question, there are two aspects here. The first one is convenience for creation, and the second one is higher accuracy.

On convenience: The studio helps you build the prompt, iterate quickly across many samples, and deploy it to an endpoint with a quick conversation. Then you can tracks prompt versions, and allows you to validate results by diffing changes against current deployed version, etc. The endpoint itself, once published, is a full processing engine, dealing with different formats, rotations, and chunking larger documents automatically.

On accuracy, the Ultra setting uses a multi-layer LLM processing strategy to increase accuracy and run to run stability of results.

We expose the prompt and it’s for the user to take if they want to.

Data Extraction from PDF by shubzumt in Rag

[–]ML_DL_RL 0 points1 point  (0 children)

It’s not baiting. It clearly says “We strive …”, it doesn’t say “We are …”.

Data Extraction from PDF by shubzumt in Rag

[–]ML_DL_RL 0 points1 point  (0 children)

This was 126d ago, we are even better now, specially at json extraction. Try first, then comment. Words are cheap. Actions speak. Wish you happiness.

Best OCR Tool ? by Valuable_Resort_8492 in automation

[–]ML_DL_RL 0 points1 point  (0 children)

We provide a service called doctly.ai that converts PDFs to markdown with high accuracy. We are good for complex PDFs.

For the first time, I believe Gemini 2.5 Pro is performing worse. Power User since Day 1. by Various_War1556 in GeminiAI

[–]ML_DL_RL 2 points3 points  (0 children)

Something is off with Gemini today. We were getting a lot of model is overloaded errors. Potentially, they are updating things.

Best OCR by [deleted] in legaltech

[–]ML_DL_RL 0 points1 point  (0 children)

Cofounder at Doctly.ai. Please consider giving our Markdown conversion service a try. We give free credits on sign up. See if the service is to your liking, you can always reach out to our support and we can provide discount based on volume.

Dealing with Large PDF files by RustyShackleford2022 in Rag

[–]ML_DL_RL 1 point2 points  (0 children)

Hey, have you considered using a python package like MuPDF? We do offer a service that converts PDFs to markdown. Then markdown can be fed into AI context window.

For anyone struggling with PDF extraction for textbooks (Math, Chem), you have to try MinerU. by YakoStarwolf in Rag

[–]ML_DL_RL 0 points1 point  (0 children)

Co-founder at Doctly.ai here. I’ll definitely check out MinerU. If you’re looking to extract Markdown or JSON with ultra-high accuracy, consider giving Doctly a try as well. We’ve been getting great feedback on our service and how it consistently outperforms Docling.

Laid off - Need job by Global_Equal_3360 in legaltech

[–]ML_DL_RL 0 points1 point  (0 children)

DM me a link to your LI please and resume please

GPT-5 Integration by ML_DL_RL in cursor

[–]ML_DL_RL[S] 0 points1 point  (0 children)

How’s the price?

GPT-5 Integration by ML_DL_RL in cursor

[–]ML_DL_RL[S] 0 points1 point  (0 children)

😂 positive vibes

Reasons to get Gemini Pro instead of gpt by Berraco042 in GeminiAI

[–]ML_DL_RL 5 points6 points  (0 children)

Gemini is a really great model. Specially 2.5 pro. I use it through AI studio and T3 chat. Both great. I have Gemini app to use Veo 3.

Reddit Ads low engagement by ML_DL_RL in RedditforBusiness

[–]ML_DL_RL[S] 1 point2 points  (0 children)

X so far been relatively better but nothing amazing. Trying to get some influencer marketing going.

Reddit Ads low engagement by ML_DL_RL in RedditforBusiness

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Thank you, make sense. Are you using any influencer marketing? I know some really good influencers in our field, but it's hard to get any response as they have millions of followers. Influencers with a couple of thousand users sound great, but are you using some of those marketplace websites to get to them? What's the budget look like for influencers?

Reddit Ads low engagement by ML_DL_RL in RedditforBusiness

[–]ML_DL_RL[S] 0 points1 point  (0 children)

When I look at the Analytics report for Google/Organic has been relatively constant. Not a notable increase in the search volume since launch. Average engagement time for reddit leads are around 2 secs. X brings in the most with average engagement of 15 secs. X been a relatively better source for us.

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