I've been benchmarking AI coding agents for the past few months and one finding keeps coming up: agents spend ~80% of their context budget on orientation, reading files, grepping, exploring - before they write a single line of code.

On a FastAPI codebase (~800 files), Claude Code averaged 23 tool calls per task just to figure out what's relevant. That's 40K+ tokens burned before any actual work happens.

I've been building a solution to this and we're launching it on Product Hunt tomorrow. But before that, I'm curious:

What's the biggest source of token waste in your workflow? Is it the exploration phase, context window exhaustion mid-task, session restarts, or something else entirely?

I understand that everyone comes here with the hope of winning the Product of the Day award (at least one of the top three spots).

But so what does that mean for you?

Are you going to sell more products/subscriptions?

Problem:
Finding honest product recommendations online is a nightmare:
72% of Google s first-page results are ads
42% of Amazon reviews are unreliable
15+ minutes wasted per search

Solution:
Lumigo is an AI-powered search engine that:
Bans all ads and sponsored results
Explains every recommendation (sources: blogs, Reddit, trusted reviews)

Why It Works:

• Week-over-Week Growth:

  • Week 1: +23.56%

  • Week 2: +18.70%

  • Week 3: +59.90%

  • Week 4: +67.70%

  • Week 5: +262.88%

• CTR: 16.67% (vs. Google s 2-3%)

• Potential Cart Value: Almost 500K (no ads, just honest affiliate clicks)

The Product Hunt team has to face many new launches every day and try to test products on their own which is very time-demanding.

Understandably, not every product gets into the "Featured section".

(What is/is not featured was also mentioned by @gabe in one of his posts.)

After years of absence from the start-up world, I embarked on this new path that led me to the creation of Lumigo, an AI-based product search engine that helps you find the best products by checking the data on various websites (reviews, reddit posts, etc.) in seconds and returns only the most suitable products for your needs without the tedious ads on Google.

Having only done one product hunt launch in the past (which didn't go well) I'm not very clear on what I should or could do to make this launch go better...any advice?

Let s face it: searching for products online is a mess. You type in a query, and what do you get? A wall of ads, followed by best of lists that feel more like affiliate marketing than honest recommendations.
I ve spent hours scrolling through irrelevant results, only to end up on a Reddit thread from 2018. Sound familiar?
The problem isn t the tech it s the business model. Search engines prioritize profit over people, and we re the ones paying the price.
So, here s my question: What s the most frustrating part of searching for products online? And if you could fix one thing, what would it be?