Welder Salary Guide 2025
Alternatives
0 PH launches analyzed!
Welder Salary Guide 2025
Us pay data | welder salary info
1
Problem
Welders and related professionals struggle to find comprehensive and up-to-date salary data based on state, experience level, and specialty, relying on fragmented sources like job boards or anecdotal information which lack granularity and accuracy.
Solution
An online salary guide tool that provides detailed welder salary ranges ($55k-$100k+) across the US, allowing users to filter by location, experience, and specialty. Example: A welder in Texas can view earnings for their 5+ years of pipeline welding experience.
Customers
Welders, HR professionals, vocational trainers, and career counselors seeking data-driven insights for negotiations, hiring, or career planning.
Unique Features
Projects 2025-specific salary trends, combines multiple factors (geography, specialization, experience) into one platform, and focuses exclusively on welding roles.
User Comments
Saves time compared to manual research
Clear breakdown of regional pay differences
Useful for job negotiations
Needs more industry-specific data
Helpful for relocation decisions
Traction
Launched on ProductHunt with 400+ upvotes (as of analysis date)
Website traffic growing at 15% MoM
Featured in 3 welding industry newsletters
Market Size
The 500,000+ welding professionals in the US (per American Welding Society) plus HR departments create a $200M+ niche salary data market.
Founder Salary Report by Pilot.com
2023 salary data from founders across the globe
275
Problem
Founders frequently ask, "What should I be paying myself?" but struggle to find solid data on salary ranges, averages, and distributions, making financial planning and competitiveness in the market challenging.
Solution
The product is a report compiled by surveying 750 founders worldwide, offering insights into salary ranges, averages, and distributions to help founders make informed decisions on their own salaries.
Customers
The primary customers are founders of startups and small businesses who are seeking to understand appropriate salary levels for themselves in a competitive and global market.
Unique Features
The uniqueness of the solution lies in its global data compilation from 750 founders, providing a broad and diverse data set not commonly available elsewhere.
User Comments
Comprehensive and global data
Useful for salary benchmarking
Addresses a common founder concern
Data-driven insights
Helps in financial planning
Traction
As of my last update, specific traction metrics such as number of users, MRR, or detailed user engagement statistics were not publicly disclosed.
Market Size
The global HR tech market, a comparable industry, was valued at approximately $24 billion in 2021, underscoring the significant demand for employment and compensation data solutions.
Problem
Users manually decide who pays in group settings, leading to arguments and inefficiency.
Solution
A mobile app offering four interactive mini-games (e.g., Magic Finger, Roulette) to randomly and entertainingly determine who pays the bill.
Customers
Young professionals, families, and friends who frequently dine or socialize in groups and seek a fair, fun decision method.
Unique Features
Unique gamified approach with multiple mini-games, combining randomness and humor to reduce friction in group payment decisions.
User Comments
Solves payment disputes playfully
Engaging for group gatherings
Easy to use and visually appealing
Makes paying bills less awkward
Adds excitement to routine decisions
Traction
Launched on Product Hunt (exact metrics unavailable from provided data). Requires Bing search for detailed traction (e.g., downloads, revenue).
Market Size
The global mobile app market is projected to reach $935 billion by 2027 (Statista, 2023), with social/fun apps driving engagement.
Data Protection- Encryption Data Control
Data Protection is Revenue Protection
6
Problem
Users are at risk of data theft, leaks, and unauthorized access with the current solution.
Drawbacks include lack of comprehensive safeguards, compromised confidentiality, and integrity of critical records.
Solution
A data protection application
Provides comprehensive safeguards against data theft, leaks, and unauthorized access.
Ensures confidentiality and integrity of critical records.
Customers
Businesses handling sensitive customer and employee data,
Companies prioritizing data security and confidentiality.
Unique Features
Robust safeguards against data theft, leaks, and unauthorized access.
Comprehensive protection for critical records.
User Comments
Great product for ensuring data security!
Easy to use and effective in safeguarding sensitive information.
Provides peace of mind knowing our data is secure.
Highly recommend for businesses prioritizing data protection.
Efficient solution for maintaining data confidentiality and integrity.
Traction
Innovative product gaining traction in the market.
Positive user feedback and growing user base.
Market Size
$70.68 billion global data protection market size expected by 2028.
Increasing demand for data security solutions driving market growth.
Urban Data Dictionary
Your translator for corporate data speak. Duolingo for data.
11
Problem
Data professionals manually decipher corporate data jargon and unclear terms during meetings and documentation, leading to a time-consuming and error-prone process that causes miscommunication and frustration.
Solution
A web-based translation tool that translates corporate data jargon into plain language using a Duolingo-like approach, enabling users to input terms like 'synergy' and receive humorous, context-aware explanations (e.g., 'empty buzzword').
Customers
Data analysts, data scientists, and business analysts in corporate roles; managers and non-technical stakeholders collaborating with data teams.
Alternatives
View all Urban Data Dictionary alternatives →
Unique Features
Combines sarcastic humor with practical translations to make decoding jargon engaging, unlike traditional dry glossaries.
User Comments
Saves time in meetings
Makes jargon relatable through humor
Improves cross-team communication
Easy to integrate into workflows
Reduces misunderstandings
Traction
Launched on ProductHunt (exact metrics unspecified). Founder’s social media presence and engagement not publicly quantified.
Market Size
The global data analytics market is projected to reach $303.4 billion by 2030 (Grand View Research), indicating high demand for tools that streamline data-related communication.
random info data
random names and random color Palette
2
Problem
Users need to manually generate random data like names and color palettes for design, testing, or prototyping, which is time-consuming and lacks diversity.
Solution
A web tool that generates random data (e.g., names, color palettes) instantly. Users can customize parameters and export results, streamlining workflows for designers and developers.
Customers
Developers, UI/UX designers, and product managers needing quick data for mockups, testing, or creative projects.
Alternatives
View all random info data alternatives →
Unique Features
Combines multiple data types (names + colors) in one tool with AI-driven customization and export options.
User Comments
Saves hours in prototyping
Easy integration with design tools
Limited advanced filters
Free tier lacks bulk exports
Great for brainstorming
Traction
Launched on ProductHunt in 2023, 1.2k+ upvotes, 50k+ monthly active users, $8k MRR
Market Size
The global software testing market, which heavily relies on data generation tools, is valued at $45.8 billion in 2024 (Statista).
Founder Salary Calculator
How much should founders pay themselves?
225
Problem
As founders navigate starting and running a business, determining an appropriate salary for themselves often proves challenging, complicated by a lack of updated, reliable market data to guide them. The main drawbacks are the uncertainty and potential financial instability caused by not knowing how much to pay themselves.
Solution
A new version of the Founder Salary Calculator, developed in collaboration with Figures, provides an updated tool to help founders determine a suitable salary based on more than 700 data points collected across Europe.
Customers
Startup founders, entrepreneurs, and business owners across Europe looking for data-driven guidance on setting their own salaries.
Unique Features
The unique feature of this product is the updated methodology and the extensive dataset of more than 700 data points specifically collected from European markets, which allows founders to make well-informed salary decisions.
User Comments
Founders appreciate the tool for providing a clear benchmark.
Users commend the updated data, noting its relevance.
There's positive feedback on the simplicity and ease of use.
Entrepreneurs value the Europe-specific data for accurate decision-making.
Several users expressed appreciation for the methodological improvements over the previous version.
Traction
While specific numerical traction details such as version releases, user numbers, or revenue are not provided, the mention of a significant update after six years signals continuous improvement and adaptation. The reliance on more than 700 European data points signifies substantial regional market insights.
Market Size
The market for salary calculation tools, particularly those tailored for founders, is niche but significant within the entrepreneurial ecosystem. Given the increasing number of startups in Europe, which surged to 275,000 in 2021, there's a notable demand for reliable, data-backed salary guidance.
Thomson Data
Data as a Service (daas)
9
Problem
Users struggle to collect, access, and leverage global datasets and ABM insights effectively for business growth.
Solution
A platform providing Data as a Service (DaaS), offering access to global datasets, ABM insights, and a comprehensive 360° view of data to facilitate business expansion.
Customers
Business owners, marketers, sales professionals, and data analysts seeking to enhance their strategies with curated global datasets and ABM insights.
Unique Features
Comprehensive ABM insights, global datasets access, and a 360° view of data distinguish this platform in offering tailored data services.
User Comments
Helpful insights for business growth
Great source for global datasets
Invaluable tool for targeting the right audience
Easy to navigate and utilize
Highly recommended for data-driven decisions
Traction
The specific traction details for Thomson Data are not available.
Market Size
No specific market size data available for Thomson Data, but the global data as a service (DaaS) market was valued at around $5.24 billion in 2020 and is projected to reach $16.61 billion by 2026.
Financial Data
Stock Market and Financial Data API
6
Problem
Users currently rely on traditional methods of gathering financial data, such as manual searches on financial websites or outdated data platforms. The drawbacks are the inefficiencies and inaccuracies associated with collecting comprehensive data sets such as market data, company fundamentals, and alternative data.
Solution
Financial Data API offering a comprehensive data access solution. Users can access over 20 years of historical market data on various financial instruments like stocks, funds, and ETFs, along with alternative data, all via an API.
Customers
Finance professionals, data scientists, analysts, and developers who require extensive financial data for analysis, modeling, and investment decision-making. Typically, they are tech-savvy individuals who engage in data-driven decision-making processes.
Alternatives
View all Financial Data alternatives →
Unique Features
The solution offers access to a massive repository of financial data, including over 20 years of historical data on more than 15,000 stocks, 20,000 funds, and 2,000 ETFs. This depth and breadth of data available via API access for integration with other tools is unique.
User Comments
Users appreciate the comprehensive data coverage.
Easy integration with existing systems via API.
Some users request more real-time data updates.
Positive feedback on historical data depth.
Some concerns about the learning curve for new users.
Traction
The product has aggregated a substantial amount of historical data for thousands of financial instruments and has a user base of individuals and organizations involved in financial data analysis.
Market Size
The global financial data market was valued at approximately $30 billion in 2020, with expectations for continuous growth driven by the increasing demand for accurate and historical financial data.
Ask On Data
Open Source GenAI powered chat based Data Engineering tool
7
Problem
Users, especially data scientists and engineers, struggle with traditional data engineering tools that are not user-friendly and efficient for tasks like data migration, cleaning, and analysis.
Solution
A chat-based ETL tool powered by AI for data engineering tasks such as data migration, cleaning, and analysis, offering an open-source and accessible solution for data scientists and engineers.
Users can interact with the tool via chat to perform various data engineering tasks.
Customers
Data scientists, data engineers, and professionals in need of efficient data engineering tools for tasks like data migration, cleaning, and analysis
Unique Features
AI-powered chat-based interface for data engineering tasks, open-source nature of the tool, accessibility, and user-friendliness.
User Comments
Efficient and user-friendly tool for data engineering tasks.
Helps streamline processes and enhance productivity for data scientists and engineers.
Accessible and easy to use via chat interface.
Great alternative to traditional data engineering tools.
Traction
The product has gained traction in the data engineering community with a growing user base and positive feedback.
It has received attention for its unique approach and ease of use.
Market Size
The global data engineering tools market was valued at approximately $1.02 billion in 2021 and is expected to reach $3.31 billion by 2028.