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COINTURK FINANCE > Startup > AI Simplifies Job Bidding for Freelancers on Upwork
Startup

AI Simplifies Job Bidding for Freelancers on Upwork

Overview

  • Getmany automates Upwork job applications for agencies.

  • The platform balances AI automation with personalized proposal creation.

  • Expansion plans include targeting LinkedIn and new outreach channels.

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Navigating the freelance landscape on platforms like Upwork often feels overwhelming for both individual freelancers and agency teams. Crafting customized proposals only to face little response adds frustration to an already challenging process. As competition heightens with automated bids and top-ranked profiles, speed matters more than ever. Recognizing these hurdles, Getmany developed an AI-powered platform designed to streamline agency operations and enhance bid efficiency, drawing keen interest from many agencies.

Contents
How Does Getmany Change Upwork Job Applications?What Are the Key Features of This Platform?

Traditional methods of proposal creation have proven less effective over time compared to modern approaches. Automation and AI integration have long been seen as solutions to increase productivity and competitiveness. Many similar past solutions aimed at automating freelance gig submissions struggled with maintaining personalization in proposals. However, Getmany pioneers a fine-tuned balance between scale and human touch, making it appealing for agencies seeking efficiency without sacrificing personalization.

How Does Getmany Change Upwork Job Applications?

Users of Getmany can automate their job application processes, effectively bypassing the labor-intensive manual browsing and proposal writing. This system automates everything from job filtering to proposal creation, easing the strain on agencies. According to Kyrylo Kozak, Getmany’s CEO, this approach allows teams to focus on crucial client interactions rather than administrative tasks.

What Are the Key Features of This Platform?

Getmany utilizes advanced language models to craft personalized proposals using users’ specific project criteria. Agencies can quickly submit proposals to numerous job posts, sparing valuable time. Despite AI handling the bulk process, maintaining an authentic and human element in proposals remains crucial. Users input essential project context, ensuring the proposals stay relevant and personal.

The platform also debunks the necessity for lengthy cover letters. Kozak notes the preference for concise, impactful messages that capture attention, reflecting a shift toward practicality in professional communications. Short and personalized messages generally yield higher engagement from hiring managers.

Originally collaborating with Claude from Anthropic and leveraging OpenAI, Getmany focused on refining user experience without compromising data privacy. Despite initial attempts at creating proprietary language models, the adoption of established models complemented their platform more effectively.

In use for almost two years, Getmany serves over 100 agencies, largely those with limited resources. The platform caters specifically to the niche but interconnected Upwork agency community, enabling greater collaboration and shared experiences among users.

As Getmany looks to expand its capabilities onto platforms like LinkedIn, the focus remains on automation and targeted outreach. To help navigate new channels, the company plans on securing additional funding, a step supporting its broader growth vision.

Through advanced automation, Getmany optimizes opportunities for freelancers and agencies, supporting better business results. As AI continues to deepen its role in professional spaces, tools like Getmany could shape new ways of connecting freelancers with clients. Understanding these dynamics offers useful insights for those navigating the gig economy landscape.

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Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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