How to Build a Government Contract Search App

TL;DR

A government contract search app can be built without traditional coding by connecting Replit Agent 4 to the SAM.gov API and prompting parallel agents to create the interface, data integration, and landing page. The demonstrated app lets users search by business type and state, view relevant opportunities, subscribe to alerts, and publish the finished product with a custom domain.

Transcript

The US government spent $834 billion on contracts last year. And most small business owners don't even know this money exists. So, I went and built a tool that finds all of these government contracts for you. And it took me only this many minutes to build it. And no, I don't know how to code. I'm just talking to an AI. Let me show you exactly how I... Read More

Key Insights

• SAM.gov is the federal website where federal contract opportunities are posted, covering work such as lawn care, IT, construction, and consulting. The project was motivated by the claim that its interface and filtering process are difficult enough that many potential users abandon their searches.
• The app simplifies contract discovery by asking what a business does and where it operates. It then displays opportunities that users may be able to bid on, including available dollar amounts, posting information, the responsible government department, and a quiz designed to help assess qualification.
• Replit Agent 4 works by assigning different parts of an application to multiple AI agents. In the demonstration, separate agents handled the backend connection, the front-end search experience, and the landing page concurrently, reducing the need to complete every development task in sequence.
• A detailed initial prompt can guide an AI coding system even when the user lacks technical expertise. The creator gave Claude a short description of the desired SAM.gov interface, requested a more complete Replit prompt, and pasted the resulting specification into Replit to begin development.
• A SAM.gov API key enables the application to retrieve contract data without scraping the website or bypassing its restrictions. The demonstrated process involved creating a SAM.gov account, opening the account details and API area, generating a key, and entering that key into Replit.
• The first functional preview appeared after about four minutes and included a polished landing page, contract search, a tree-trimming result posted by the Department of Defense, a qualification quiz, and a disclaimer. The creator then reviewed the preview and requested additional features through plain-language prompts.
• Email alerts can turn a one-time search tool into a recurring service. The requested workflow showed a subscription popup after a user's first search and offered similar signup options on other pages, allowing users to receive notifications when new contracts match their selected filters.
• The published project was expanded beyond its core search function through blog posts, landing-page experiments, a pitch deck, team-sharing options, and a custom domain. The creator also rejected a fabricated success-story concept because its supporting proof was not real, showing the importance of truthful marketing content.

Questions & Answers

Q: How can you build a government contract search app without coding?

Start by describing the desired user experience in plain language, such as searching federal contracts by business activity and state. The creator asked Claude to expand a short idea into a detailed build prompt, pasted that prompt into Replit Agent 4, and supplied a SAM.gov API key. Replit's agents then created the backend connection, front-end search experience, and landing page concurrently.

Q: How do you get a SAM.gov API key for an app?

Create an account on SAM.gov, open the account details section, navigate to the API area, and select the option to generate an API key. The resulting string is entered into the Replit project when requested. According to the demonstration, this key allows the application to pull SAM.gov contract data directly without scraping the website or attempting to work around its restrictions.

Q: What problem does a simplified SAM.gov search tool solve?

The tool addresses the difficulty of finding relevant opportunities through SAM.gov's existing interface. Instead of navigating complicated filters, a user can enter what the business does, choose a state, and review contracts that may be suitable for bidding. The app also presents useful details such as dollar amounts, agency information, posting dates, and a qualification quiz in a more accessible format.

Q: How does Replit Agent 4 use multiple agents to build an app?

Replit Agent 4 can assign separate development responsibilities to different AI agents and run them concurrently. In the example, one agent developed the backend that retrieves contract information, another created the front-end search interface, and another generated the landing page. The creator could also request additional concurrent tasks through the plus control instead of waiting for each change to finish sequentially.

Q: What features were added after the first app preview?

After reviewing the initial preview, the creator requested email subscriptions that notify users when new contracts match their filters. The project also received three to five blog posts intended to improve visibility in contract-related searches. Additional work included alternative hero-section designs, a pitch deck describing the product and market, team-sharing capabilities, and publication through a connected custom domain.

Q: How can email notifications improve a contract search app?

Email notifications allow users to receive updates without repeatedly returning to search for new listings. The requested design displays a subscription popup after a user's first search and offers signup opportunities on other pages. Subscribers can then be notified when newly posted contracts match their filters, helping the app provide continuing value beyond the initial search session.

Q: How can AI generate and test landing-page alternatives?

The creator used Replit's infinite canvas and reimagine features to generate several hero-section variations without permanently replacing the existing design. The alternatives emphasized closing deadlines, industry selection, and a success story. After reviewing them, the creator kept the original page and rejected the success-story option because its claim was not real, demonstrating that human review remains necessary when AI proposes marketing concepts.

Q: How was the government contract app published?

The final publishing process involved choosing the automatically suggested business name, checking whether its matching domain was available, purchasing the domain for $12, linking it to the Replit project, and selecting publish. Before publication, the creator had already tested the search preview, requested feature additions, reviewed design alternatives, and generated a pitch deck that could support a hypothetical fundraising effort.

Summary & Key Takeaways

• The project addresses a usability problem with SAM.gov, where federal contract opportunities are posted but filtering can be difficult. The resulting app simplifies discovery by letting users describe their business, select a state, and review relevant contracts with available dollar amounts, qualification guidance, agency information, and posting dates.

• The app was produced by giving Replit Agent 4 a detailed prompt refined through Claude, then supplying a SAM.gov API key. Multiple agents worked concurrently on the backend, search interface, and landing page. A functional preview appeared in about four minutes, including results for a tree-trimming search and a qualification quiz.

• Further iterations added email notifications for matching opportunities, several blog posts intended to improve search visibility, alternative landing-page concepts, and a pitch deck. The creator retained the original landing page, purchased an available domain for $12, connected it to the Replit project, and published the website for public use.