SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Developer builds 500K-domain search engine for makers in a weekend for $10

0
·1 views

A developer named Alex Morley-Finch built a search engine indexing 500,000 domains targeted at makers and builders. The project was completed over a single weekend at a total cost of just $10. Finch documented the process in a blog post detailing the birth of the project, called Marlin. The low-cost, rapid build highlights how accessible modern web infrastructure has become for independent developers.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

MgntUtils Cold Filtering Lets Teams Verify AI Token Savings on Their Own Log Data

A follow-up guide from the author of MgntUtils explains how technical and managerial decision-makers can independently verify AI token cost savings before making any production changes. The tool supports 'cold' stacktrace filtering, meaning it can process stacktraces already captured as text from existing logs, rather than only live exceptions. Users can run a small standalone Java program — isolated from their main systems — by adding the MgntUtils jar to a classpath and applying filters using their own company-specific package prefixes. The filtered and original stacktraces can then be compared by line count, byte size, or token count using a model's tokenizer to estimate real cost reductions. The approach is designed to let teams validate the tool's claims on their own data without relying solely on the author's published benchmarks.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Google AI Overviews Drive Down Clicks, Forcing SEO Teams to Rethink Metrics

Google's AI Overviews are accelerating a shift in search behavior, with users significantly less likely to click through to websites when an AI-generated summary appears, according to a Pew Research Center analysis from March 2025. Pew found that AI Overviews appeared in roughly 18% of searches, and when present, only about 8% of queries led to a click on a traditional result, while just 1% led to a click within the AI summary itself. Overall, approximately two-thirds of all Google searches ended without any click. The trend is forcing SEO and marketing teams to separate 'answer presence' — being cited in an AI summary — from actual audience acquisition, as the two no longer reliably translate into each other. Experts suggest that effective search measurement now requires tracking visibility, downstream engagement, and tangible business value as distinct outcomes rather than treating organic rankings and clicks as interchangeable signals.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Prompt Example, Not Training Data, Was Causing Fine-Tuned Model to Repeat Closing Lines

A developer running a fine-tuned Llama 3.3 70B model on Amazon Bedrock discovered that 36% of its generated story endings repeated the same grammatical template, initially suspecting overfitting in the training data. A quick count revealed the pattern appeared in only 0.3% of the 1,610 training examples, making a training-data explanation statistically impossible. The real cause turned out to be a single hardcoded example in the generation prompt itself, which the model treated as the dominant signal and consistently replicated. Rather than retraining at a cost of roughly $30 and five hours of compute, the developer replaced the one fixed example with a pool of seven structurally varied closing lines. The incident highlights how a single concrete example in a prompt can override fine-tuned model behavior entirely, making prompt auditing a critical first step before any retraining decision.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer Builds MCP Server Using Romania's Official 4.2M-Company Open Registry Data

A developer has replaced fragile web-scraping workflows with a self-hosted MCP server built on Romania's official company registry, published as open data by the ONRC on data.gov.ro. The registry covers 4.2 million firms and is refreshed monthly, providing legal status, activity codes, and director information with no login or API key required. The core engineering challenge involved processing large, irregularly formatted CSV files — some nearly 700 MB — using stream-loading into SQLite and joining nomenclator tables to decode status and activity codes. The resulting server exposes three tools that allow an AI agent to search companies by name or tax ID, with results enriched by decoded activity categories and director details. The project demonstrates how official government open-data portals can serve as reliable, legally sound alternatives to third-party directory scraping for B2B lead generation.

0 comments Read more at DEV Community
Developer builds 500K-domain search engine for makers in a weekend for $10 · ShortSingh