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AI Builders on Reddit Saw the Future First, Study Finds
New York, USAFirst-of-its-kind analysis of 261,511 Reddit posts shows builder communities discussed AI agents, agentic AI, and MCP months before the concepts reached the broader public
New York, USA
AI Security Guard, an Enspektos, LLC project, today released *Shipping the Future: A Data Portrait of AI-Aided Software Builder Communities on Reddit*, a first-of-its-kind study examining how AI builder communities on Reddit evolved as AI models, coding tools, and agentic systems became more powerful.
The report analyzes 261,511 Reddit posts across seven core builder subreddits and eight broader AI-influenced communities, comparing Reddit discussion with Google Trends search behavior to understand how builder priorities differ from mainstream public interest in AI.
The study found that Reddit builder communities often discussed major AI trends before those concepts reached broader public interest, using Google Trends search volume as an analog. AI agents appeared in builder discussion 27 months before comparable mainstream Google Trends interest crossed the study threshold, while agentic AI appeared 9 months ahead and Model Context Protocol (MCP) appeared 7 months ahead.
The report also found that AI builder culture has moved beyond experimentation and into a more operational phase. Builders are still focused on shipping, launching, workflows, and product development, but security-related discussion is rising. When builders talk about security, they tend to use practical language tied to immediate production concerns: API keys, environment variables, authentication, rate limits, encryption, cost exposure, and systems that can fail after launch.
“The data shows a builder community that is moving very quickly in areas the general public often knows little about,” said Fard Johnmar, Founder and President of Enspektos, LLC, which developed the AI Security Guard platform. “Builders will always ship fast, but increasingly they will have to pay attention to product reliability, cost, security, and whether what they are building can survive in production.”
The report was developed to understand how interest in building software products, services, and solutions changed as AI capabilities increased, including among people with limited technical backgrounds who are vibe coding applications. It uses topic modeling, phrase analysis, Google Trends data, and cross-community Reddit analysis to identify where builder attention concentrated and how those conversations changed from shortly after the launch of ChatGPT in November 2022 through mid-May 2026.
Additional findings from the report include:
- Builder-focused cultural language connected to shipping, agents, workflows, and product development became more visible in broader AI-influenced Reddit communities over time.
- Public AI search behavior and Reddit AI discussion overlap, but reflect different mindsets. Public search is more focused on access, cost, discovery, and brands. Builder discussion is targeted toward implementation, workflows, product development, and launch activity.
- Security is not one of the highest-mindshare builder topics, but security-related conversations rose sharply between 2025 and 2026.
- Builder security discussion is practical and operational. Builders pay more attention to issues such as API key exposure, authentication errors, encryption, privacy, cost exposure, and production failures than to more formal concepts like prompt injection and penetration testing.
The findings point to a maturing AI builder market. Early AI building was often about moving faster. As AI-assisted systems become more central to products and workflows, the next phase of builder culture will likely be defined by trust, reliability, security, cost control, and long-term product viability.
Shipping the Future* is available at https://aisecurityguard.io/reports/shipping-the-future.
About AI Security Guard
AI Security Guard is a multi-faceted platform for securing autonomous AI, combining protection APIs, product tooling, education, and original research. Enspektos, LLC, a company focused on building products and services for the autonomous AI future, launched the platform in early 2026. Learn more about AI Security Guard at https://aisecurityguard.io.
This press release was distributed by RedPress Wire Ltd. For more information, visit redpress.net
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New 2026 Florida Building Code Updates Impact Commercial Roof Compliance: John Keller Roofing Helps Longwood Businesses Prepare
Longwood, FLMay 2026 — Florida’s 2026 building code updates are now in effect, bringing important changes that impact commercial roofing systems across Central Florida. To help local businesses stay compliant and avoid unexpected costs, John Keller Roofing, a trusted commercial roofing contractor serving the Greater Longwood area for more than three decades, is offering guidance and […]
Longwood, FL
May 2026 — Florida’s 2026 building code updates are now in effect, bringing important changes that impact commercial roofing systems across Central Florida. To help local businesses stay compliant and avoid unexpected costs, John Keller Roofing, a trusted commercial roofing contractor serving the Greater Longwood area for more than three decades, is offering guidance and inspections tailored to the new requirements.
The updated codes introduce stronger wind‑resistance standards, revised fastening guidelines, and more detailed inspection documentation for commercial roofs. These changes aim to reduce storm‑related damage and improve long‑term building safety. However, many commercial property owners are unaware that their existing roofs may no longer meet the updated criteria.
“Commercial buildings in Central Florida deal with intense heat, heavy rain, and strong winds every year,” said John Keller, owner of John Keller Roofing. “These new code updates are designed to protect businesses, but they can be confusing if you’re not in the roofing industry. My goal is to make it easy for owners and managers to understand what’s required so they can stay compliant and avoid surprises.”
To support businesses throughout Longwood, Altamonte Springs, Lake Mary, and surrounding areas, John Keller Roofing is offering commercial roof evaluations focused on identifying potential compliance issues early. These assessments review roof membranes, drainage systems, flashing, fasteners, and structural components to determine whether updates or documentation changes are needed.
For many commercial properties—especially older buildings—proactive inspections can help prevent costly insurance complications, reduce the risk of storm damage, and ensure the building meets the 2026 standards before the peak weather season.
“Most people don’t realize that a roof that passed inspection years ago may not meet today’s requirements,” Keller added. “A quick check now can save thousands of dollars later, especially with hurricane season right around the corner.”
John Keller Roofing encourages commercial property managers, warehouse operators, retail centers, and office building owners to schedule a compliance review to ensure their roofs meet the 2026 Florida building code updates and are prepared for the months ahead.
For more information or to schedule a commercial roof evaluation, visit www.cflroofer.com
John Keller Roofing at 407‑332‑0345 for scheduling and service coordination.
Business address for reference: 1228 Bella Vista Circle, Longwood, FL 32779
Hours: Mon–Fri: 7:30 a.m.–5:00 p.m.; Sat: 9:00 a.m.–12:00 p.m.
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Deltologic Introduces DataDoe Amazon Seller MCP to Bring Enterprise Ecommerce Infrastructure to Smaller Teams
DOVER, DelDeltologic, a software and AI implementation company focused on ecommerce, is introducing DataDoe as a new way for ecommerce teams to build AI workflows on top of real marketplace data. For the last six years, Deltologic has built custom Amazon integrations, marketplace automation, reporting systems, internal tools and data infrastructure for ecommerce companies with complex […]
DOVER, Del
Deltologic, a software and AI implementation company focused on ecommerce, is introducing DataDoe as a new way for ecommerce teams to build AI workflows on top of real marketplace data.

For the last six years, Deltologic has built custom Amazon integrations, marketplace automation, reporting systems, internal tools and data infrastructure for ecommerce companies with complex operations. Many of these projects were built for larger teams that had the budget, time and technical resources to create custom systems from scratch.
DataDoe comes from that experience. The idea is simple: smaller ecommerce teams should not need a large engineering budget to build useful systems around their data. They should be able to connect their marketplace data once, use it safely, and build workflows with AI tools such as Gemini, ChatGPT, Cursor and Claude Code.
DataDoe is starting with Amazon because Amazon data is one of the hardest parts of ecommerce operations to organize well. Sellers and vendors work across Seller Central, Vendor Central, Amazon Ads, FBA inventory, fees, settlements, reimbursements, returns, listings, Brand Analytics and profit data. These sources are valuable, but they are usually disconnected.
That is where DataDoe’s Amazon Seller MCP comes in. It gives AI tools and development environments a structured way to work with Amazon seller data, instead of forcing teams to rely on exports, screenshots, disconnected spreadsheets or custom SP-API projects.
Teams can use DataDoe’s Amazon Seller Central MCP to support reporting, dashboards, internal tools, client summaries, profitability analysis, inventory workflows, advertising reviews and AI-assisted operations. Developers can build on top of structured Amazon data instead of starting every project by rebuilding the same data foundation.
“Smaller ecommerce teams should not need a massive engineering budget to build useful AI workflows,” said Kris Krokos, Co-Founder of Deltologic and DataDoe. “DataDoe gives them the data foundation to start.”
Security and reliability are important parts of the product because DataDoe is built by a team that has spent years working on production ecommerce systems, marketplace integrations and enterprise AI implementation. The platform is designed around permissioned access, structured data handling and a clear separation between the ecommerce data layer and the AI interface.
Deltologic sees this as part of a bigger shift in ecommerce software. In the past, smaller companies often had to choose between manual spreadsheets, generic SaaS dashboards or expensive custom development. MCP and AI are changing that model. With the right data layer, ecommerce teams can build more of their own workflows, reports, agents and internal tools without starting from zero.
DataDoe is starting with Amazon and is already testing additional marketplaces. The broader goal is to become a reliable ecommerce data layer for AI implementation across marketplaces, helping sellers, vendors, agencies and developers build AI-native operations on top of clean operational data. Teams using Claude can also explore how to connect Amazon seller data to Claude through DataDoe’s Claude integration page.
DataDoe is available for sellers, vendors, agencies, developers and ecommerce teams building AI workflows on top of marketplace data.
About DataDoe
DataDoe is built by Deltologic — a marketplace technology agency that’s spent six years shipping integrations, custom software, and AI infrastructure for brands across North America, Europe, and Asia.
Media Details
Organization: Deltologic
Website URL: https://www.datadoe.com/
Name: Jakob Wolitzki
Email Address: [email protected]
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Tips.GG Analyzes Champions League Finals: 11 Players Whose Triumphs Are Overshadowed by Defeats
LONDON, UKEvery one of the 11 footballers in history who reached four or more European Cup finals and won fewer than half — all eleven — ended their last final in defeat. This is just a fraction of the surprising findings Tips.GG discovered during their latest research. To compile the comprehensive “The Stigma of Losers,” the […]
LONDON, UK
Every one of the 11 footballers in history who reached four or more European Cup finals and won fewer than half — all eleven — ended their last final in defeat. This is just a fraction of the surprising findings Tips.GG discovered during their latest research.
To compile the comprehensive “The Stigma of Losers,” the sports data platform analyzed every European Cup and UEFA Champions League final from 1956 to 2025. By cross-referencing records from the UEFA archive, RSSSF, and Transfermarkt, the dataset isolates the rare and painful anomaly of players who reached the pinnacle of European football, only to lose more often than they won.

1 almost perfect starting XI: The 11 players on the list form an almost perfectly balanced football squad consisting of 1 goalkeeper, 3 defenders, 5 midfielders, and 2 forwards, meaning the historical dataset accidentally engineered a complete lineup.
“You make the run from the group stage to the final four times, meaning you knock out three top-tier opponents in the playoffs each time, even if you only lift the cup once. But a player who makes this run just once, and wins, is not considered a loser, while you are — it is a paradox,” said Anton Malyutin, CEO of Tips.GG.
Beyond the individual extremes, the full analysis breaks down the specific facts and match data that forged the rest of the ledger:
- 5 players from a single pre-Bosman squad: The structural immobility of the 1960s era meant a legendary Benfica core kept its squad together, resulting in five players accumulating multi-final negative records over an eight-season span.
- 3 negative records sealed on penalties simultaneously: Alessandro Del Piero, Gianluca Pessotto, and Edgar Davids all registered their final losses on the exact same night during the 2003 Old Trafford penalty shootout between Juventus and Milan.
- 4 players lost finals with multiple clubs: Patrice Evra, Edgar Davids, Didier Deschamps, and Edwin van der Sar endured the statistical anomaly of losing Champions League finals while playing for different finalist teams.

Media contact
Mykhaylo Zemlyankin
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