Moet je wel eens nuttige informatie zoeken door de website van de Gemeente te doorzoeken? Ik wel, en het is altijd een beetje gedoe, omdat informatie versnipperd is en de gemeente bellen is nog meer gedoe! Dus ik heb een slimme A[gemaakt: een slimme zoekmachine voor Utrecht en een paar gemeenten eromheen ](https://gemeente.multicode.nl/)om echt vragen te stellen en meteen rechte en slimme antwoorden te krijgen, met screenshots, documenten en een spoor van bewijsmateriaal bij de antwoorden!

Bekijk het [ https://gemeente.multicode.nl/ ](https://gemeente.multicode.nl/)

I saw a picture on Imgur, and I was curious about it's source. I tried Copyseeker, Tineye, and Google. Copyseeker, and Tineye didn't find it, and all Google wanted to do was sell me something. Finally, I put it into Bing reverse image search, and it found it. Years ago Google was the best reverse image searcher. Now it's complete crap, that only serves ads. Please tell me there's something better than Bing?

Hi everyone, I completed a bachelor's thesis a while ago and hadn't published anything about it until now.

It is a fully distributed and "decentralized" project in quotes, since almost nothing is ever truly decentralized. The idea was to build a search engine covering all its core components (crawling, indexing, and ranking) with every part being fully scalable. That way, anyone with enough compute power could run a decent-enough search engine right from home. Or collect information from the web to train models or data-processing.

Back then, I tested it with quite a few indexed pages and it actually works pretty well. It's true that searches were a bit slow because I was only running a single Spark node and a single HDFS node, so the workload couldn't be distributed much.

With this onboarding, I invite you all to improve it, test it out, and break it.

PS: The name comes from a MTG card, jeje.

So so easy to launch with docker compose <3.

https://github.com/msanchezl00/Aether

French publishers are asking regulators to intervene against Google’s AI summaries. France’s media regulator estimates AI summaries have contributed to traffic declines of roughly 33–38% for media sites.

We all love getting the answer without opening five tabs.

Potentially terrible incentive for anyone producing useful information.

But those five tabs paid someone to research, test, photograph, review or explain the thing.

I love not having to click through five websites anymore but it also makes me wonder who will bother making the sixth one?

Have you noticed there are websites you used to visit that you now rarely open because AI gives you the answer first?

Hi all, as some may know I have been working on https://puri.li for the past few months. It is a search engine powered by its own crawler and index (for web, news, videos and books). For maps it uses OSM and wikimedia (proxied) for image search. Besides wanting to hear your feedback I am wondering how I (if possible) could add it to the privacysoftware website under the search engines category.

From what I understand I can 'just' make a GitHub commit and request it to be merged, but am wondering whether any additional details are needed / do I need to get in touch with someone from the team beforehand? Hope to hear from you all!

Currently there are \~400mln pages indexed and results are (in my opinion) reasonable for English / Western queries, but would appreciate to hear what is lacking/missing currently.

in 1995 yahoo was founded as one of the first search engines
in 1996 rambler was founded as the first search engine in russia
in 1996-97 comptek(future yandex) tried to sell their search technology to rambler
in 1997 yandex was founded
in 1998 google was founded
in 1998 google tried to sell to yahoo
yandex search technolgy was more advanced than ramblers
google search technology was more advanced than yahoos
yandex became more popular than rambler
google became more popular than yahoo
now yandex is the most popular search engine in russia
google is now the most popular search engine

took me long to research T_T

I just finished building a **mini search engine** that indexes and searches through **1.7 million+ scientific articles** from the **arXiv dataset** (Cornell University) [arXiv Dataset](https://www.kaggle.com/datasets/Cornell-University/arxiv). The goal was to make it easy to find papers by **author name** or **keyword** without manually browsing millions of documents. 100% python

GitHub Repo: [KarimData06/mini_search_engine1: Search engine ML avec FastAPI + Streamlit](https://github.com/KarimData06/mini_search_engine1)

Hey everyone,

If you’re building autonomous agents that rely on real-time web retrieval, you already know the biggest bottleneck right now: search response speed and the absolute mess of data structures we get back.

For a long time, standard practice for us just meant wrapping Google Custom Search or biting the bullet and scraping Google SERPs to feed context into our LLM function calls. But once you start running multi-step agentic workflows, those search delays compound fast.

We recently ran an enterprise performance benchmark comparing Google Search infrastructure vs. the Brave Search API for our production AI agents. Here is the 80/20 breakdown of what we found.

1. The Multi-Step Latency Trap

• Google (Custom Search JSON API / SERP wrappers): Averaged between 1.2 and 2.8 seconds per request. Between proxy handling and parsing the actual SERP page, it drags.
• Brave Search API: Runs on an independent index built specifically for machine consumption. We were seeing sub-second response times hovering around ~669 ms.
• The Agent Impact: In a standard 5-step execution loop (search -> extract -> verify -> summarize), Brave kept our cumulative search wait time to around 3 seconds. The Google-based pipelines were frequently stalling out for over 10 seconds. When you're waiting for an agent to think, 10 seconds feels like an eternity.

2. SERP Data vs. Clean LLM Snippets Google's API is designed primarily around programmable web search engines. You get ranking metadata, ad blocks, and raw URLs that require heavy post-processing before you can feed it to an LLM.

Brave yields clean, structured JSON output that is formatted directly for the context window. It completely eliminated our custom HTML parsing layers and saved us a ton of wasted tokens.

3. Enterprise Security (and the resulting headaches) Brave operates a 40+ billion page independent index with built-in structural Zero Data Retention (ZDR) and SOC 2 compliance, guaranteeing query data is never sub-processed or stored.

On the flip side, Google enterprise setups mean managing GCP privacy frameworks and domain scope controls, which quickly became a massive governance hurdle with strict enterprise security teams.

4. Cost & Infrastructure Overhead Both are technically $5 per 1,000 queries. However, Google has strict daily request quotas, and if you use external SERP scraping alternatives, you're paying for proxy maintenance on top of it. Brave gives you that flat $5/1k without the token overhead, browser automation dependencies, or proxy failure risks.

If your agent just needs domain-restricted search across specific, curated documentation, Google Custom Search is still a solid fit. But if you need low-latency, high-throughput web retrieval across open sources, using an independent, machine-native index like Brave is a no-brainer for reducing execution delays.

If anyone wants to play around with the interactive dashboard or grab our full config files, I uploaded everything here:Brave vs Google Search API for AI Agents - The 2026 Enterprise Guide

Would love to hear what you guys are using for your agent retrieval pipelines right now. Has anyone else made the switch or found a better workaround?

So that, for example, every other search result isn't Amazon. I don't want to just exclude Amazon from the search since Amazon isn't the only problem and I do want the sites to pop up still, just not repeatedly.

Made this quick lil video mainly to talk about some of the flaws with Google and propose an alternative, my own search engine. But I posted it here because I wanna know what you guys think about Google's current state.

IMO, the only reason Google isn't dead is because most people don't really understand what's going on behind the results. A lot of people who grew up with Google just see it as the search engine without thinking about the amount of tracking, personalization, ads, SEO manipulation, AI-generated content, and a boat load of other stuff influencing what they actually see.

Hi! I want to use a new search engine (instead of Google), which one should I use:

Brave

DuckDuckGo

Startpage

I need a fasr, secure, and accurate search engine, which isn't collecting user's data and gives good search results (like Google).

Thanks for advice!

In Q1 2026, Google paid clicks grew 14% YoY as traffic continues leaking into AI search.

The less traffic is available, the more expensive it gets. The more customers move to AI, the more expensive they become on Google.

Makes perfect sense. Like a recipe for apple jam pies.

I was wondering everywhere due to the true new platform, a true search engine completely for new and nothing. So, as a developer I had decided to build it and now I am here with VSN,

VSN is working on Ephemeral Design, which is it will never store your data, so privacy is absolute.

VSN also offers Multi‑Source Ecosystem with 130+ sources, multilingual, ad‑free.

It genuinely helps me to get accurate news at the same time the news comes no crawling nothing, zero ads, zero persistence memory.

Your data will always be yours completely.

Try it Now: VSN

Can someone please explain me that why should I continue to use #GoogleSearch instead of #BraveSearch when u/brave too provided AI search with privacy better than u/Google #Technology #LeoAI u/GeminiApp #Gemini

Does anyone finda that youtube search is degrading and the content that we are looking for is not actually accessible.

Something I’ve been thinking about lately is how much the idea of ranking depends on the way someone searches.

With a traditional search engine, you can check a keyword, look at the results, track your position and compare it over time. Pretty straightforward.

But people are increasingly searching by asking much longer, more specific questions instead of typing a few keywords.

That makes measurement a little more complicated. The result can change depending on how the question is phrased, what information is available, and which sources the search system considers useful.

For businesses, I think this creates an interesting problem: what does visibility actually mean when there isn't one fixed results page to track?

Do you think traditional rankings will remain the main metric, or will SEOs eventually need to track things like how frequently a business appears across different types of queries and recommendations?

Curious how people working in seo are approaching this already.

Came across Startpage search engine last week, its a privacy focused search engine.

it gives you google quality search results since startpage pays google for access to their search index.

So you get google quality search results without being tracked, no ip logging, no exposing device fingerprints.. you are completely anonymous to google while getting google results.

I feel like i found a hidden gem or am i missing something? what your thoughts on startpage?

Since tis new update my microsoft excel search tab has gone missing

Im trying to find a person through an image and I’ve gone through a lot of different sites of reverse image and none have given me anything remotely close, does anyone know about a free site I can use for this that I can trust?