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StartupBase is a platform for launching and discovering new products every day ๐
Built for founders, indie makers, and early adopters, StartupBase helps great products get seen by the right people. Founders can submit their startup, create a public profile, and gain visibility through launches, rankings, collections, reviews, and community engagement.
Whether you are shipping something new or looking for products worth trying, StartupBase makes discovery simpler, sharper, and more useful. It is a place where launches get attention, products get context, and builders get a better chance to stand out.
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StartupBase's answer:
StartupBase gives founders more than temporary exposure. We focus on lasting discoverability, cleaner product pages, structured rankings, and real SEO value. Founders can launch products, build credibility, collect feedback, appear in curated collections, and continue getting visibility long after launch day.
StartupBase's answer:
StartupBase is built for long-term product discovery, not just one-day launches. Products get dedicated pages, launch history, rankings, collections, SEO visibility, and ongoing traffic instead of disappearing after 24 hours. We also use AI to help founders create stronger listings faster through our AI Launch Assistant.
StartupBase's answer:
StartupBase is primarily built for startup founders, indie hackers, SaaS creators, AI builders, developers, marketers, and early-stage teams looking to launch, promote, and grow their products. It is also used by tech enthusiasts and early adopters who want to discover new tools and startups.
StartupBase's answer:
StartupBase was originally launched in 2017 with a simple goal: help great products get discovered. Over the years, thousands of startups were submitted and the platform grew into a trusted place for founders seeking visibility and feedback. After nearly 10,000 listings and thousands of users, StartupBase was completely rebuilt to improve discovery, product pages, rankings, and long-term growth opportunities for founders.
StartupBase's answer:
StartupBase is primarily built using:
StartupBase's answer:
Based on our record, Python seems to be a lot more popular than StartupBase. While we know about 299 links to Python, we've tracked only 1 mention of StartupBase. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / about 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / about 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
StartupBase - Fresh startups showcased daily. - Source: dev.to / over 2 years ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Product Hunt - A website that lets users share and discover new products
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
BetaList - BetaList provides an overview of upcoming internet startups. Discover and get early access to the future.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Startup Buffer - Startup Buffer is a premium startup directory for emerging startups all around the world.
