DEV Community: venk1122

ollastack

venk1122 — Thu, 13 Aug 2026 09:49:50 +0000

Ollastack: An API-First Platform for AI Agents, Forms, and Email

As AI agents become more capable, developers need reliable infrastructure that allows these agents to interact with websites, forms, email systems, and automated workflows. https://ollastack.com/ is an API-first platform designed specifically for this purpose. It brings together headless forms, agent-owned email mailboxes, and disposable email testing into one backend, making it easier for developers to build and operate AI-powered applications.

One of the main features of Ollastack is its headless form infrastructure. Developers can create form endpoints that can be connected to websites, applications, mobile clients, or AI agents. Form submissions can automatically include geographic information such as country, city, region, and timezone. The platform also provides spam filtering, rate limiting, audit logs, and agent-aware submissions. This makes it useful for businesses that want to collect leads or customer enquiries without building and maintaining their own form-processing backend.

Another important capability is Agent Mail. AI agents often need to send, receive, and respond to emails while performing tasks on behalf of users or businesses. Ollastack provides real email inboxes that agents can operate through an API. Agents can send messages, receive replies, manage conversations, and work with verification emails and OTP codes. Instead of requiring developers to build complicated email infrastructure from scratch, Ollastack provides these capabilities through documented API endpoints.

Ollastack also focuses on email testing for development and CI environments. Developers can create disposable test inboxes and wait for verification emails to arrive. The platform can extract OTP codes from test messages, which can be particularly useful when automatically testing signup flows, authentication systems, and other applications that depend on email verification.

A major advantage of the platform is its AI-agent-first approach. Ollastack allows developers to create scoped API tokens for agents. These tokens can be labeled, audited, and revoked, helping developers understand which agent performed an action. The platform's OpenAPI specification is designed to be machine-readable, allowing AI agents and agent frameworks to discover available endpoints and understand how to interact with them.

The platform also includes workflow automation and AI enrichment features. Developers can create rules that automatically tag leads, route urgent enquiries, send notifications, or generate responses. AI-powered processing can provide information such as category, sentiment, urgency, summaries, and suggested replies for incoming leads and emails. Ollastack also supports team roles, projects, exports, analytics, webhooks, and integrations with services such as Slack, Discord, Telegram, Google Sheets, and Mailchimp.

Another benefit is its developer-friendly design. The same backend can be used with cURL, JavaScript, HTML forms, React applications, mobile clients, and AI agents. This flexibility allows developers to integrate Ollastack into different types of projects without being tied to a single frontend framework.

Overall, Ollastack is positioned as a message and interaction layer for AI agents. Instead of separately managing form infrastructure, email services, testing inboxes, automation, and agent authentication, developers can use one API-oriented platform. For startups, developers, and teams building AI agents that need to collect information, communicate through email, or automate workflows, Ollastack provides a practical infrastructure layer that can reduce development complexity and speed up deployment.

ollawrite

venk1122 — Thu, 13 Aug 2026 09:28:51 +0000

OllaWrite: An AI Content Writer Built Around Your Website

Creating high-quality content for a business website can take a significant amount of time. Writers and marketing teams need to understand the company, research topics, check SEO requirements, maintain brand consistency, and make sure the final content is useful to readers. OllaWrite is an AI-powered content writing platform designed to simplify this process by starting with the website itself rather than relying only on a basic prompt.

https://www.ollawrite.com/ positions itself as an AI content writer that first reads and analyzes a website before creating content. According to the website, OllaWrite examines pages, site structure, and search-related information so that generated content can be based on the information already available on the business website.

One of the main features of OllaWrite is its website audit capability. The platform can review elements such as robots.txt, sitemaps, page titles, meta information, headings, structured data, and readability. This helps identify areas that may need improvement before new content is created. Instead of treating content generation and SEO as completely separate activities, OllaWrite combines them into a single workflow.

Another important feature is its use of specialist AI agents. OllaWrite describes a workflow involving separate stages for research, research checking, writing, and editing. This approach is designed to provide more structured content creation instead of generating an article from one simple instruction. An editor stage can also review the draft and identify unsupported or weak sections before the content reaches the user.

The platform also focuses on creating what it calls “grounded drafts.” The idea is that content should be connected to information from the user's own website rather than being produced without considering the company's existing information. This can be particularly useful for businesses that want product descriptions, landing-page content, blog articles, and other materials to remain consistent with their existing website.

Brand consistency is another area where OllaWrite can be useful. Users can provide writing samples so the system can remember the preferred tone and style. This can help businesses maintain a more consistent voice when producing multiple pieces of content. The platform lists several use cases, including blog and SEO content, landing pages, product copy, and newsletters.

OllaWrite also provides a content brief along with the draft. The brief can include the target search intent, recommended format, section structure, and important points to cover. This gives writers an opportunity to review the reasoning behind the article instead of simply receiving finished text. The platform also supports publishing or exporting content, including Markdown export.

Overall, OllaWrite is designed for businesses, marketers, SEO professionals, and content teams that want to combine website analysis, content research, AI writing, and editorial review into one workflow. Its website-first approach makes it different from AI writing tools that primarily depend on a user's prompt. For organizations producing regular website content, this approach can help make the writing process more structured, consistent, and connected to the information already published on the site.

ollasuper

venk1122 — Thu, 13 Aug 2026 09:05:51 +0000

OllaSuper: Building a Smarter AI Workforce for Modern Teams

Businesses today are looking for better ways to save time, automate repetitive work, and help employees focus on important decisions. OllaSuper is an AI Workforce Platform designed to help teams use specialized AI assistants and action-oriented AI agents for different business functions. Instead of depending on a single general-purpose chatbot, OllaSuper brings specialized AI capabilities into one workspace.

Visit https://ollasuper.com/

One of the main ideas behind OllaSuper is to create an AI workforce where different specialists can support different departments. The platform provides AI assistance across areas such as sales, marketing, HR, finance, legal, operations, engineering, SEO, and AEO. These specialists can help produce practical business outputs rather than simply providing conversational answers. Examples include sales sequences, marketing content, job descriptions, financial reports, technical documents, code reviews, SEO audits, and strategic business documents.

A key feature of OllaSuper is the difference between Assistants and Agents. Assistants are chat-driven specialists that provide advice and create work based on user instructions. Agents, on the other hand, are designed to perform scheduled tasks and use tools to carry out workflows. OllaSuper currently highlights six production agents, including an Outbound SDR Agent, SEO Auditor, Content Publisher, Inbox Triage, Pipeline Curator, and Deep Research Agent. Actions that could have external effects can be placed in an approval queue so users can review them before they are sent or published.

The platform is also designed around multi-agent collaboration. Different specialists can share context and hand work to one another. For example, a sales workflow could involve researching prospects, preparing outreach, organizing pipeline information, and creating follow-up material. This approach can reduce the need to move information between multiple disconnected AI tools. OllaSuper describes this as creating an entire AI department inside one workspace.

Another important capability is the way users provide information to the AI specialists. Users can add a URL, upload a file, paste text, or connect a workspace. They can then communicate with the specialist using normal language rather than needing to understand complex prompt engineering. After receiving an output, users can review it, edit it, regenerate sections, and export the final work in formats such as Markdown, PDF, or DOCX.

For marketing and website teams, OllaSuper includes SEO and AEO-related capabilities. Its SEO and AEO workflows can analyze websites, identify issues, and provide recommendations. The Content Publisher Agent can also research topics and prepare content for blogs, social media, and newsletters, while keeping drafts subject to approval before publication.

OllaSuper also focuses on business-oriented security and governance. Its website describes features such as workspace-level policies, role-based access, granular permissions, encryption, audit controls, and enterprise access options. It also states that customer data is not used to train models.

Overall, OllaSuper is positioned as more than a traditional AI chatbot. Its goal is to bring specialized AI assistants, scheduled agents, collaboration, business workflows, and human approval into a single platform. For startups and growing teams, this approach can make AI more useful for everyday work by turning AI from a simple question-and-answer tool into a practical digital workforce.

ollastack

venk1122 — Wed, 12 Aug 2026 11:38:41 +0000

Ollastack: A Developer-Focused Platform for AI Agent Forms, Email, and Testing

As AI agents become more capable, developers need reliable infrastructure that allows these agents to interact with forms, email, and other communication systems. Ollastack is designed to provide these capabilities through a single API-first platform. You can explore the platform here: https://ollastack.com/

Ollastack combines three important capabilities: headless forms, agent mailboxes, and disposable email testing. Instead of maintaining separate services for collecting form submissions, sending and receiving emails, and testing verification messages, developers can manage these workflows through one backend and token system.

Headless Forms for AI Agents

One of the main features of Ollastack is its headless form infrastructure. Developers can create form endpoints that accept submissions from websites, applications, or AI agents. Submissions can be spam-filtered and automatically enriched with geographic information such as country, city, region, and timezone. Agent submissions can also be identified and recorded in an audit log, making it easier to understand which agent generated a particular request.

The API-first approach makes integration flexible. Developers can use cURL, JavaScript fetch, HTML forms, React, or other applications to communicate with the same endpoint. This makes Ollastack suitable for projects where the frontend and backend need to remain independent.

Agent Mailboxes

Another important capability is Agent Mail. Ollastack provides real mailboxes that AI agents can use to send, receive, and reply to messages through API requests. This can be useful when an AI agent needs an email identity to communicate with users or interact with services.

The platform uses scoped Bearer tokens for agent access, while calls can be recorded in an audit log. Developers can therefore build automated email workflows without having to implement an entire email infrastructure themselves.

Email Testing for CI

Testing email-based applications can be challenging, particularly when applications depend on OTPs, verification links, or automated notifications. Ollastack provides disposable test inboxes intended for continuous integration workflows. Developers can trigger an email, wait for it to arrive, and extract verification codes from the test message.

This approach can help automate tests that would otherwise require manually checking an inbox during development.

Workflow Automation and Integrations

Ollastack also includes workflow rules that can automatically respond to incoming events. For example, a submission can be tagged, routed to another communication channel, or processed with AI-based enrichment. The platform can generate information such as categories, sentiment, urgency, summaries, and suggested replies.

It also supports integrations with services such as Slack, Discord, Telegram, Google Sheets, and Mailchimp, while additional automation can be connected through platforms such as Zapier, Make, n8n, and Activepieces.

Built for Developers and AI Workflows

A key idea behind Ollastack is its headless and API-first architecture. Developers can provide an AI agent with an API token and an OpenAPI specification, allowing the agent to understand available endpoints and interact with the platform programmatically. Features such as idempotency keys, signed webhooks, delivery history, exports, analytics, and role-based team access make the platform suitable for more structured development workflows.

Overall, Ollastack brings forms, agent email, and email testing together into one developer-oriented platform. For developers building AI-powered applications, automated workflows, or agent-based systems, having these communication capabilities available through a unified API can simplify development and reduce the need to maintain multiple separate services.

To learn more about its features, documentation, and available plans, visit Ollastack.

ollawrite

venk1122 — Tue, 11 Aug 2026 12:11:18 +0000

OllaWrite: An AI Writing Assistant for Smarter Content Creation

Writing high-quality content can take a significant amount of time, especially when you need to research information, organize ideas, maintain a consistent tone, and produce polished content. AI writing assistants are changing this process by helping users move from an initial idea to useful content more efficiently. One platform that explored this approach is OllaWrite.

OllaWrite was designed as an AI-powered writing assistant that could help users with everyday writing and content creation tasks. You can explore the original platform at https://www.ollawrite.com/.

One of the interesting aspects of OllaWrite was its focus on combining AI assistance with information grounding. Instead of simply generating text from a short prompt, the platform developed capabilities around providing sources and context for writing workflows. This can be particularly useful when creating articles, business content, documentation, or other material where having relevant information is important.

The platform also evolved beyond a simple writing interface. According to its product changelog, OllaWrite introduced a prompt-first writing experience, allowing users to start with a task and select from different writing prompts and categories. It also introduced multiple writing voices and tones to make generated content more suitable for different situations.

Another notable feature was its source-grounded workflow. Users could provide information through URLs, sitemaps, documents, or pasted text. The system could then use these sources as context while working with the AI. This approach is useful for people who want generated content to be connected to specific information rather than relying only on general AI knowledge.

OllaWrite also included a chat-based writing workflow and an editor where users could work with generated content. Features such as regeneration and comparing different outputs can make the editing process more flexible. Instead of accepting the first AI-generated answer, users can review alternatives and select the version that fits their requirements best.

The development of OllaWrite is also interesting because the product later evolved into OllaSuper, an office-focused AI assistant. The changelog states that the platform was rebranded from qwriter/OllaWrite to OllaSuper, with the new product expanding into multiple specialist AI experts. The domain also moved from OllaWrite to OllaSuper, with redirects put in place.

This evolution shows how AI products can grow from a focused writing assistant into a broader productivity platform. Rather than treating AI as only a text-generation tool, the product direction moved toward specialized assistants that can help with different types of work.

For writers, marketers, students, developers, and professionals, AI writing tools can be useful for brainstorming, organizing information, improving drafts, and reducing repetitive writing work. However, human review remains important, particularly for factual accuracy, originality, tone, and context.

Overall, OllaWrite represents an interesting stage in the development of AI-assisted writing. Its progression from a writing-focused product toward the broader OllaSuper platform demonstrates how AI assistants are becoming increasingly specialized and integrated into everyday workflows.

If you want to learn more about the original OllaWrite platform and its evolution, visit https://www.ollawrite.com/.

ollawrite

venk1122 — Tue, 11 Aug 2026 11:39:33 +0000

OllaWrite: An AI Writing Assistant for Smarter Content Creation

OllaWrite was designed as an AI-powered writing assistant that could help users with everyday writing and content creation tasks. You can explore the original platform at https://www.ollawrite.com/.

If you want to learn more about the original OllaWrite platform and its evolution, visit https://www.ollawrite.com/.

ollasuper

venk1122 — Mon, 10 Aug 2026 10:08:22 +0000

OllaSuper – Build Your AI Workforce

In today’s fast-moving digital world, businesses are looking for better ways to automate repetitive work, improve productivity, and make faster decisions. OllaSuper is an AI workforce platform designed to help teams use specialized AI assistants and agents for different business functions. Instead of relying on a single general-purpose chatbot, OllaSuper provides AI specialists that can support areas such as sales, marketing, HR, finance, legal, engineering, SEO, research, and operations.

You can explore the platform here: https://ollasuper.com/

One of the main features of OllaSuper is its collection of AI Experts. These specialists are designed for specific roles and can help users create practical business outputs. For example, a marketing specialist can help with campaigns, blog content, case studies, and social media material, while an engineering specialist can assist with technical documentation, code reviews, architecture decisions, and development-related tasks. HR-focused specialists can help create job descriptions, interview materials, performance-review templates, and other HR documents.

OllaSuper also separates its AI workforce into Assistants and Agents. Assistants are primarily chat-driven specialists that provide advice and help users produce work. Agents are designed to perform actions on schedules and work with connected tools. According to the website, actions that could leave the platform are placed behind approval gates, allowing users to review them before they are executed. This provides a balance between automation and human control.

Another important feature is multi-agent collaboration. Different AI specialists can work together on a larger task. For example, a sales-related project could involve research, data analysis, finance information, and executive reporting. OllaSuper allows these specialists to share context and hand work from one specialist to another, helping users manage complex workflows from a single workspace.

The platform can also be used for SEO and AEO-related work. Its SEO-focused capabilities can analyze websites and provide specific recommendations, while AEO features are intended to help businesses improve their visibility in AI-powered search and answer systems. The platform also includes agents for activities such as outbound sales research, inbox triage, content publishing, pipeline analysis, and deep research.

Another advantage of OllaSuper is the variety of outputs it can produce. Users can work with documents such as reports, content briefs, sales campaigns, technical documentation, hiring plans, research materials, and business updates. The website states that completed work can be exported in formats such as Markdown, PDF, and DOCX, making it easier to use AI-generated work in existing business processes.

For organizations concerned about security and governance, OllaSuper also highlights features such as workspace-level controls, role-based access, encryption, audit logs, and enterprise authentication options. The platform states that customer data is not used to train its models or vendor models.

Overall, OllaSuper is aimed at businesses and teams that want to move beyond basic AI chat and use AI for practical workplace tasks. Its combination of specialized AI Experts, scheduled Agents, multi-agent collaboration, and approval-based automation makes it a platform worth exploring for teams interested in building an AI-powered workflow.

To learn more about its features and start exploring the platform, visit https://ollasuper.com/.

freefreecv

venk1122 — Fri, 07 Aug 2026 11:23:50 +0000

Why I Started Looking for Simpler Resume Builders

Finding a good resume builder isn't difficult anymore, but finding one that is actually simple to use can still take time. Over the past few weeks, I explored several online resume tools while helping friends update their resumes for internships and entry-level jobs. One thing I noticed is that every platform has a different approach. Some focus on advanced customization, while others try to make the entire process as quick as possible.

For students and fresh graduates, speed and simplicity usually matter more than having hundreds of design options. Most people simply want a clean resume that looks professional and can be edited without spending hours learning a new interface. That made me curious to try a few lesser-known websites instead of only using the popular ones.

One of the sites I explored was Free Free CV at https://freefreecv.com/. The reason I decided to test it was straightforward: I wanted to see whether a lightweight resume builder could provide a practical experience without requiring complicated steps.

While testing it, I found that the interface is easy to understand, which is helpful for someone creating a resume for the first time. Rather than overwhelming users with too many choices, it focuses on helping them organize common resume sections such as personal information, education, skills, work experience, and projects.

Another thing I appreciate when evaluating online tools is accessibility. Many people don't have access to expensive software or premium subscriptions, so web-based tools that can be opened directly in a browser are useful. Whether you're applying for internships, part-time jobs, campus placements, or your first full-time role, having an editable resume available online can save a lot of time.

Of course, no single resume builder is perfect for everyone. Designers may want highly creative templates, while software developers often prefer clean, ATS-friendly layouts. People in marketing or media might choose more visual resumes depending on the position they're applying for. That's why I think it's worth trying different tools and deciding which workflow feels the most comfortable.

Something I've learned is that the quality of a resume depends far more on its content than on fancy graphics. Clear descriptions of projects, measurable achievements, relevant technical skills, and concise formatting usually make a stronger impression than excessive colors or decorative elements.

If you're just beginning your career, it's also helpful to update your resume regularly instead of waiting until you're actively applying for jobs. Adding new certifications, projects, volunteer work, or technical skills every few months makes the process much easier when new opportunities appear.

I'm still exploring different resume-building platforms to understand their strengths and weaknesses. Every tool offers something slightly different, and comparing them has been interesting. Free Free CV was one of the websites I tested during that process, and it gave me another perspective on how simple online resume creation can be.

I'd also like to hear what other people are using. Do you prefer traditional word processors, dedicated resume builders, or design tools? Everyone seems to have a different workflow, and sharing experiences helps others decide which option fits their needs best.

NETWORKERSHOME

venk1122 — Thu, 06 Aug 2026 07:57:24 +0000

How I Stay Updated in Networking Without Feeling Overwhelmed

Networking changes quickly. Every few months there are new protocols, cloud services, security practices, and automation tools to learn. Trying to keep up with everything at once can be frustrating, especially for students and people starting an IT career.

One approach that has worked well for me is focusing on the fundamentals first. Understanding concepts like IP addressing, routing, switching, DNS, and network security makes it much easier to understand newer technologies later. Instead of memorizing commands, I try to understand why a protocol or configuration exists.

I also prefer learning from multiple sources rather than depending on a single tutorial. Reading official documentation, experimenting in virtual labs, and following technical communities often provides different perspectives on the same topic. Practical practice usually teaches more than simply watching videos.

When I need additional explanations or structured learning material, I look at different educational resources online. One example is https://www.networkershome.com/, which contains articles and learning material related to networking, cloud, and cybersecurity. I treat it as one of several references alongside vendor documentation and community discussions, rather than relying on a single source for everything.

Another habit that has helped is keeping personal notes. Whenever I solve a networking problem or learn a new concept, I write down the commands, the reason behind them, and any mistakes I made. Revisiting these notes later is often more valuable than searching the internet again.

The networking field rewards curiosity and consistency more than speed. Learning a little every day, building small lab environments, and participating in technical communities can gradually improve both knowledge and confidence. There is no perfect learning path, but combining hands-on practice with trustworthy educational resources makes the journey much easier.

I'd be interested to know what resources or study methods have worked best for other networking enthusiasts.

olladns

venk1122 — Wed, 05 Aug 2026 11:02:48 +0000

Understanding Modern DNS Management for Developers and Website Owners

When people think about launching a website, they usually focus on hosting, design, or content. However, one of the most important components is often overlooked: DNS (Domain Name System). Without properly configured DNS records, visitors cannot reliably reach your website or application.

DNS acts as the internet's address book by translating domain names into IP addresses. Every website, email service, API, or application depends on accurate DNS records to function correctly. Even small configuration mistakes can lead to website downtime, email delivery problems, or service interruptions.

For developers, startups, and small businesses, using a DNS management platform can simplify common tasks such as creating A records, AAAA records, CNAME records, MX records, TXT records, and CAA records. A clean dashboard also makes it easier to manage multiple domains without manually editing zone files.

Another growing trend is using DNS for development environments. Teams often create subdomains for testing, staging, APIs, dashboards, and customer-specific deployments. Having reliable DNS management allows these services to be organized while making updates much faster.

Security is another reason DNS deserves attention. Features such as DNSSEC, proper TTL configuration, and record validation can improve reliability and reduce certain types of attacks. Regularly reviewing DNS records also helps remove outdated entries that are no longer needed.

If you're learning about DNS or looking for an interface to experiment with domain management, one resource worth exploring is OllaDNS. It provides an environment where users can manage DNS records through a web interface instead of relying entirely on command-line tools. Anyone interested can learn more here:

https://olladns.com/

Whether you're running a personal portfolio, an online store, or a SaaS platform, understanding how DNS works is a valuable technical skill. Even basic knowledge of record types and propagation can save hours of troubleshooting when deploying new services.

I'd also like to hear from other developers:

Which DNS providers have you used?
What DNS challenges have you encountered?
Do you automate DNS updates as part of your deployment process?

Sharing practical experiences can help newcomers understand best practices and avoid common mistakes.

ollanode

venk1122 — Tue, 04 Aug 2026 11:15:45 +0000

Show HN: OllaDNS – An API-First DNS Security Platform Built for Developers

Most DNS security tools are built around web dashboards. They work well for clicking through settings, but they can become difficult to automate when your infrastructure grows.

While working on different developer tools, I kept running into the same problem. DNS policies were often managed manually, which made it harder to integrate them into CI/CD pipelines, version control, or AI-assisted workflows. That led to the idea of building OllaDNS.

The goal wasn't to replace existing DNS providers. Instead, it was to explore a different approach where configuration happens through APIs instead of a dashboard.

OllaDNS is an API-first DNS filtering platform that lets developers manage DNS policies programmatically. It supports modern encrypted DNS protocols such as DNS over HTTPS (DoH), DNS over TLS (DoT), and DNS over QUIC (DoQ). The platform also provides REST APIs and MCP tools so that automation scripts or AI coding assistants can interact with it directly.

Some of the things currently available include:

DNS filtering for phishing and malware domains
Custom allowlists and blocklists
API-based policy management
Audit logs for configuration changes
Device-level DNS management
REST API endpoints for automation
MCP integration for AI-assisted workflows

One design decision that may be unusual is that configuration is intended to happen through APIs, while the dashboard is primarily for monitoring and reporting. This makes it easier to keep DNS configuration in source control and automate changes as part of deployment pipelines.

The project is still early. There are plenty of features that need improvement, and there are also limitations. For example, the service is currently available from a single US region, and native desktop or mobile clients are not available yet. Those are areas I plan to improve over time.

I'm mainly interested in feedback from developers, DevOps engineers, security teams, and anyone who manages DNS at scale.

Some questions I'd love opinions on:

Would you manage DNS through APIs instead of a traditional dashboard?
Are audit logs and version-controlled DNS policies important in your workflow?
Would AI-assisted DNS management actually save time, or is it unnecessary complexity?
What features would you expect before trying a platform like this?

If you'd like to explore the project or provide feedback, you can find it here:

https://olladns.com/

I'm not claiming it's the best DNS platform or a replacement for established providers. It's simply an experiment in building a developer-first, API-driven approach to DNS security. I'd genuinely appreciate any feedback, criticism, or suggestions from the HN community.