u/Objective-Office-829

Iam starting a D2C brand , I need customised corrugated boxes with low MOQ, Really confused should I go for online or offline to buy . Can anyone suggest me a online website where we can buy it in affordable prices.
Help please

I've been working as an SEO for a SaaS company for the last 8 months, and I'm looking for some advice from others in the SaaS space.

Until around May, organic search was bringing us a healthy number of leads. Over the last two months, though, lead generation has dropped significantly, even though our rankings and traffic haven't declined dramatically.

Our listicle/comparison blogs (e.g. "Best AI LMS", "Top LMS Platforms") used to perform really well, but they don't seem to be driving the same results anymore.

A few things I'm wondering:

• Has anyone else seen a similar decline in SaaS organic leads recently?
• Are AI Overviews and LLMs changing how users discover SaaS products?
• We don't have many reviews on G2 or Capterra. Could that be affecting trust and conversions more than rankings?
• What strategies are working for you now besides listicle content?

For context, we're in the B2B SaaS/LMS space.

I'd really appreciate hearing what's working for others in 2026. Thanks!

I talk to a lot of people who run training for multiple clients, and the same story comes up almost every time.

The goal is simple: build a course once and offer it to different clients, each with their own branded space. A training company selling to a few corporates. A continuing-ed provider licensing courses out to different facilities. Same shape.

The reality is messier. One person described her setup like this: every time a new client wants in, she sets them up in a sub-account and manually transfers the courses over. Her words, not mine: "I know that's not ideal, it's not a clean way to do it." Another one I hear constantly is "I'd rather pay for one thing than multiple," because people are stitching a CRM, a course tool, and hosting together and paying for all three.

And when the setup is clunky, it leaks into delivery. One provider put it well: clients keep "sending people to us and it's a lot of inconsistencies because people can't get to us." The admin mess quietly becomes the learner's problem.

So I'm curious how the people actually running this solved it. Did you find a genuinely clean multi-client setup, are you still living with the workaround, or did you just cap how many clients you take because the manual side wasn't worth it?

For context, I work on the software side of this, so I've got a slant. I'm asking because I keep hearing the exact same workaround and I want the unfiltered version.

Seeing this comparison come up a lot lately, so figured I'd start a thread and get real experience from people here.

On paper these two overlap more than you'd expect. Both handle multi-tenancy, white-labeling, and multiple orgs well. Both now have AI authoring too (LearnUpon has Create+, Blend-ed is AI-first from the ground up). So neither of those is really the deciding factor people assume it is.

Here's where they actually seem to split:

LearnUpon has years of track record, a mature support and implementation team, and LearnUpon Anywhere is genuinely strong if you want to embed training inside your own product. Proven and polished.

Blend-ed leans harder into the AI layer. There's an in-course AI tutor that coaches learners on whatever they're stuck on, a Skill Passport that tracks skills in real time (useful for certifications), admin you can run from plain prompts, and it's built on Open edX so there's no per-seat lock-in.

If you've used either one, or both, what made you pick it? Especially curious to hear from anyone running multiple client portals or doing certification-heavy training, since that's where I keep seeing people torn between the two.

I see a lot of "most advanced LMS" threads, and most of them just list whoever has the flashiest AI page. If you run a training business, "advanced" only matters where it saves you real time. So here's how I'd break it down, by what each thing actually does for you.

•  AI course authoring. The part that turns a rough outline or a PDF into a real course draft. This is where the newer AI-first platforms pull ahead of the old guard. Blend-ed is built around it, and Docebo has one of the deepest AI stacks out there, though you pay enterprise money for it.
• In-course learner support. An AI tutor that answers a learner's question inside the lesson, instead of them giving up or emailing you. Not many platforms do this well yet. It's genuinely useful when your learners are self-serve.
• Automation. Cohorts, certification, and expiry and renewal triggers running on their own. Absorb is strong on the compliance and certification side. If you're in regulated training, this matters more than any AI feature.
• Multi-tenancy. Every client on their own branded portal with clean, separate reporting. LearnUpon and TalentLMS both handle this, LearnUpon more cleanly once you're at mid-market scale.
• Ready-made content. Sometimes "advanced" just means you don't want to build anything. Litmos ships a big course library for exactly that.

Honest take: most training providers don't need the most advanced anything. They need the two or three of these that match how they actually deliver. If authoring volume is your bottleneck, the AI-first tools earn their keep. If you're mostly reselling stable content, they don't.

Full disclosure: I work at Blend-ed, one of the platforms above, so weigh my take on the AI parts accordingly. I tried to give the others their due.

Curious what people here consider "advanced" that actually changed how they work, versus what just demos well.

I get asked this a lot. For a training business specifically (not a corporate L&D team, that's a different job), what actually decides it is per-client branded portals, how fast you can build and update courses, certification and renewals, and commerce if you sell direct. Here's how the main ones hold up on that.

 

• TalentLMS. Cheapest way in and quick to get going. There's a free tier, worth checking it's still there when you sign up. Multi-tenancy and reporting are on the lighter side, so it fits smaller or newer providers best.
• Academy of Mine. Built for the B2B and continuing-ed model, and you can customize a lot of it. Commerce is strong. Not much AI baked in.
• LearnUpon. Good if you're running a lot of client portals. Pricing is predictable and they actually help you get set up. Solid mid-market pick. Its AI is newer than what the AI-first tools have.
• Blend-ed . AI-first. Multi-tenancy is native, there's an AI course creator and cohort automation, and it's built on Open edX. Where it's strongest is certified training in regulated fields when authoring volume is the thing slowing you down. We don't come with a library of ready-made courses, and if you're really small the open-source base is more than you need.
• Absorb LMS. Strong on compliance, SOC 2 and e-signatures, so a good fit if your training is regulated. Authoring is more basic, and it isn't really built for cohort delivery.
• Litmos. Quick to launch and comes with a big library of ready-made courses if you'd rather not build everything yourself. Integrations and multi-tenancy are more limited.
• Docebo. The enterprise one. Deep AI and global commerce, but it reportedly starts around $25k a year and you'll need admin resources to run it. Usually more than an independent provider needs.

Whatever you shortlist, do two things before you sign: build one real course in the trial and time it, then open it on a phone and check that certificates and renewals actually automate the way your compliance needs.Full disclosure: I work at Blend-ed, one of the options above. My post history makes that obvious anyway, so I flagged where we're not the fit.

 

Maybe I am being cynical here. But every LMS has slapped AI on the homepage this year, and when you actually click in, it is the same little chat bubble that summarises a paragraph for you. That is it. That is the AI.

I look at these platforms a fair bit for work, so I have sat through more of these demos than I would like to admit. A few honest impressions, take them or leave them.

Docebo has actually been at the AI thing for a while. The tagging and skills stuff is real, not just a gimmick. The core AI is bundled into the base plan now too, the authoring, the copilot, the search. It is the flashier bits, the roleplay sims and the AI video, that quietly run on extra credits you buy on top. So the bill still creeps. Funny how that goes.

Absorb is fine. The AI course creation does speed up the boring setup part. It is an assist though, you are still doing all the actual thinking.

360Learning leans into the collaborative side, which is nice if that suits how your team works. Less so if you are stuck doing dry compliance training, which a lot of us are.

Then there is Blend-ed. What they went after was AI running through the whole flow rather than one button, so generating the actual content, a tutor the learners can lean on, the admin side as well. It is built on Open edX though, so it is not the five minute, plug it in and go kind of setup. Fair warning on that.

Full disclosure, I work at Blend-ed, so I am not going to pretend I am neutral on that last one. I have tried to keep the rest fair though.

Anyway. My real question is... has anyone actually found AI in their LMS that they use every week? Not the shiny launch-day thing. The bit that genuinely stuck. Because I keep hearing huge claims, and then it feels like nobody touches it after month one.

Maybe I am being cynical here. But every LMS has slapped AI on the homepage this year, and when you actually click in, it is the same little chat bubble that summarises a paragraph for you. That is it. That is the AI.

I look at these platforms a fair bit for work, so I have sat through more of these demos than I would like to admit. A few honest impressions, take them or leave them.

Docebo has actually been at the AI thing for a while. The tagging and skills stuff is real, not just a gimmick. The core AI is bundled into the base plan now too, the authoring, the copilot, the search. It is the flashier bits, the roleplay sims and the AI video, that quietly run on extra credits you buy on top. So the bill still creeps. Funny how that goes.

Absorb is fine. The AI course creation does speed up the boring setup part. It is an assist though, you are still doing all the actual thinking.

360Learning leans into the collaborative side, which is nice if that suits how your team works. Less so if you are stuck doing dry compliance training, which a lot of us are.

Then there is Blend-ed. What they went after was AI running through the whole flow rather than one button, so generating the actual content, a tutor the learners can lean on, the admin side as well. It is built on Open edX though, so it is not the five minute, plug it in and go kind of setup. Fair warning on that.

Full disclosure, I work at Blend-ed, so I am not going to pretend I am neutral on that last one. I have tried to keep the rest fair though.

Anyway. My real question is... has anyone actually found AI in their LMS that they use every week? Not the shiny launch-day thing. The bit that genuinely stuck. Because I keep hearing huge claims, and then it feels like nobody touches it after month one.

Hey everyone,
I’ve been noticing a distinct gearbox sound on my H'ness whenever I click it into first gear right after starting it up (especially on a cold start).
It feels and sounds like a pretty sharp "clunk." Once the bike warms up and I'm riding, the gear shifts smooth out, but that initial shift after starting always catches my attention.
Is this normal behavior for the H'ness gearbox, or is anyone else experiencing this? Would love to know if it's just standard clutch plate stickiness or something I should get checked out at the next service.
Thanks!

I work at Blend-ed, an Open edX based LMS. Full disclosure upfront.

One thing we kept hearing from Open edX users was how painful it is to build genuinely interactive content. Most end up with static slides and basic quizzes not because they want to but because building anything richer needs developer time that most training teams do not have.

So we built this.

You describe what you want and it generates XBlock ready HTML, CSS and JavaScript you can drop straight into Open edX. No coding. No prompt engineering. Just describe the exercise.

Things it can build:

Multiple choice quizzes with custom formats

Interactive timelines with clickable events

Roleplay scenarios where learners navigate decisions

Virtual labs like mixing chemicals and observing reactions

Drag and drop exercises

Solar system simulations

Completely free. You just need a Gemini API key which Google gives out free.

Try it here: blend-ed.com/interactive-xblock

Built it because we were frustrated with the problem ourselves. Happy to answer questions about what kinds of content it handles well and where it still has limits.

I work at Blend-ed, a SaaS LMS platform, and we just shipped our biggest release so far.

As founders, we spend a lot of time debating what to build next. This release was a good reminder that customers often value practical improvements over flashy ideas.

The feature that got the strongest reaction was our AI course creator now generating video as part of the course creation workflow.

Before this, creating training content meant stitching together outlines, assessments, and then spending days or weeks producing video. Now, teams can generate a draft course structure, assessments, and video assets in the same workflow.

Some of the other features customers were genuinely excited about:

• Multi-org Dashboard – Training companies managing multiple client organisations can finally see everything from one place instead of jumping between instances.

• AI Course Translation – Build a course once and adapt it for multiple regions without recreating the entire experience.

• Interactive Content Creator – Generate simulations, scenarios, and interactive activities from a description to speed up production.

• AI Problem Builder – Create branching scenarios and practice exercises without manually building every decision path.

• Pre-Assessments – Identify what learners already know before training starts, instead of designing for the lowest common denominator.

• Skill Passport – Give learners a verifiable record of the skills and achievements they've built over time.

The interesting part for me wasn't the technology.

None of our customers said, "Can AI replace our team."

What they wanted was to remove bottlenecks, reduce repetitive work, and deliver training faster without compromising quality.

It reminded me that people rarely buy features for the sake of features.

They buy outcomes.

Curious to hear from other SaaS founders:

• What's a feature you shipped recently that customers valued far more than you expected?
• What's one feature you were convinced would be a hit but barely moved the needle?
• Have AI features actually driven adoption for your product, or are they mostly helping with retention and expansion?

Happy to share more about what we learned from shipping this release if it's useful.

I want to know how other founders handle this in real life, not the legal theory.

I run a tool that has an AI course creator. A user types in a topic and the AI writes a full course for them: the outline, the lessons, the quizzes. Then the user can teach that course or sell it.

Here's what worries me. Sometimes the AI writes something that is very close to text it learned from. The user has no idea. They publish the course, maybe even sell it, and later it turns out the text is too close to someone else's work that's protected by copyright. Since my tool is the one that wrote it, I'm not sure how much of the blame lands on me.

A few things I'm trying to figure out as the owner of the tool:

1. The rules users agree to when they sign up. What do you put in yours? My plan is to say the user owns whatever the AI makes for them, to make clear I don't promise the content is fully original, and to make users confirm they're allowed to use anything they upload. Is that enough, or have you added more?
2. Help from the AI company. I build my tool on top of another company's AI. I thought they would protect me if a copyright problem came up, but it looks like their protection doesn't cover tools that are built on top of their AI, like mine. Has anyone actually been protected this way, or do you just assume you're on your own?
3. What you build into the product itself. Do you mark the content as "made by AI"? Do you stop users from uploading someone else's work to "rewrite"? Do you push people to edit the course before they publish it? I want to know what you actually built, not just what you wrote in the rules.

I don't want to remove a useful feature over a risk that might be small for normal use. But I don't want to get caught out either. How are you handling it?

I want to understand the copyright side of AI course creators, and I'd like to hear what people here think.

An AI course creator is a tool where you give it a topic and it writes a full course for you: the outline, lessons, quizzes, and so on. More of these tools are showing up now, and people are using the courses to teach and to sell.

Here is the part I can't figure out.

1. Sometimes the AI writes text that is very close to something it learned from during training. The person using the tool has no idea. They publish the course, and maybe even sell it. Later it turns out the text is too similar to someone else's copyrighted work. Who is responsible? The person who published the course? The tool that wrote it? Both of them?
2. The other side of this. If the course is mostly written by the AI and the person barely changed anything, can that person even own the course? From what I have read, content made fully by AI is not really protected by copyright unless a human adds real work to it. So the person could end up in a strange spot. They can get in trouble if the course copies something, but they may not actually own the course either.

If you make or sell courses, do you rewrite most of what the AI gives you before using it, or do you just publish it? And for people who know copyright well, is this a real problem for normal use, or am I worrying too much?

I work on a tool that includes an AI course creator (give it a topic, it drafts an outline, lessons, quizzes, and so on). The more people use it, the more one question keeps nagging me, and I'd rather hear how real people think about it than read another law-firm blog.

Two things I can't cleanly resolve:

1. Models occasionally produce text that's close to something they were trained on. If a user takes that, publishes it, and it turns out to mirror an existing copyrighted work, who is actually on the hook in practice? The user who hit publish? The tool that generated it? The model provider underneath all of it? Everyone?
2. Flip side: can the user even own the course they generate? My understanding is that purely AI-generated output isn't really copyrightable without meaningful human editing, which seems like a big deal for anyone trying to sell or protect what they make.

For people who actually build or sell courses: do you treat AI-generated material as a rough draft you heavily rework before trusting it, or do you just ship it? And for the IP-minded folks: am I overthinking the infringement risk for normal use, or underthinking it?

Not looking for "go ask a lawyer," already on that. I want to know how people are handling this in the real world.

I’ve been comparing white label LMS platforms for external training and partner portals. Sharing a short list that usually comes up in serious evaluations.

1. Blend-ed
Built on Open edX and fully managed.
Custom domain, full branding control, multi-tenant setup.
Usually shortlisted when companies want deeper customization and external training at scale.

2. LearnWorlds
Strong on marketing tools and course sales.
White-label options and branded experience.
More creator or training business focused than enterprise heavy.

3. TalentLMS
Quick to deploy and easy to manage.
White labeling available on higher tiers.
Common in SMB corporate training environments.

4. Thinkific Plus
Enterprise tier of Thinkific.
API access and branded environment.
Popular with scaling course businesses.

5. LearnUpon
Corporate-focused LMS.
Multi-portal capability and solid reporting.
Often used for structured employee or partner training.

6. Absorb LMS
Enterprise LMS with branded portals and strong integrations.
Built for larger organizations with formal learning workflows.

What I’ve learned is that white label can mean very different things. Sometimes it is just branding. Sometimes it includes structural control and multi-client environments.

The right choice depends on whether you are selling courses, training partners, or running enterprise programs.

For transparency, I work at Blend-ed. Sharing this based on what I consistently see in evaluations and RFP discussions.

Curious what others here are using and why.

If your school or institution uses Canvas, this is probably worth paying attention to.

Canvas/Instructure was hit by ShinyHunters, and the group claimed it had stolen a huge amount of data from thousands of institutions. The numbers being reported vary a bit, but the claim is roughly thousands of schools and several terabytes of data.

The exposed data reportedly includes things like names, email addresses, student ID numbers, course information, enrollment details, and messages between students and teachers.

Instructure says it has not found evidence that passwords, financial details, government IDs, or dates of birth were taken. They also said they reached an agreement with the hackers and received confirmation that the stolen data was destroyed.

That sounds reassuring, but I would still be careful. The bigger issue now is phishing.

If attackers have course names, instructor names, school emails, and message context, they can send emails that look very believable. Not the usual obvious scam emails. More like:

“Your assignment was flagged”
“Canvas login required”
“Message from your instructor”
“Update your student account”
“Review your course access”

What I’d do for the next few weeks:

Don’t click Canvas links from emails. Go directly to your school’s website or Canvas login page.

Turn on MFA if you haven’t already.

Be suspicious of any email that creates urgency around assignments, grades, login issues, or account access.

If you had sensitive conversations inside Canvas, assume there is a chance they were seen.

And for official updates, use Instructure’s incident page instead of random screenshots or reposts.

Not trying to panic anyone. Just saying this is exactly the kind of breach that can lead to very convincing phishing attempts.